Machine Learning Research Topics for MS PhD

By: Prof. Fazal Rehman Shamil
Last modified on April 15th, 2021

Machine Learning Research Topic ideas for MS, or Ph.D. Degree

I am sharing with you some of the research topics regarding Machine Learning that you can choose for your research proposal for the thesis work of MS, or Ph.D. Degree.

  1. Applications of machine learning to machine fault diagnosis: A review and roadmap
  2. Significant applications of machine learning for COVID-19 pandemic
  3. Quantum chemistry in the age of machine learning
  4. A survey on machine learning for data fusion
  5. Artificial intelligence and machine learning to fight COVID-19
  6. Machine learning for molecular simulation
  7. A survey on distributed machine learning
  8. Explainable machine learning for scientific insights and discoveries
  9. When Machine Learning Meets Privacy: A Survey and Outlook
  10. Machine learning testing: Survey, landscapes and horizons
  11. Machine learning and psychological research: The unexplored effect of measurement
  12. Universal differential equations for scientific machine learning
  13. Machine learning for active matter
  14. Exploring chemical compound space with quantum-based machine learning
  15. Ten challenges in advancing machine learning technologies toward 6G
  16. Machine learning for materials scientists: An introductory guide toward best practices
  17. Lessons from archives: Strategies for collecting sociocultural data in machine learning
  18. Tslearn, a machine learning toolkit for time series data
  19. A snapshot of the frontiers of fairness in machine learning
  20. How machine learning will transform biomedicine
  21. An introduction to machine learning
  22. Machine learning for protein folding and dynamics
  23. DScribe: Library of descriptors for machine learning in materials science
  24. Advances of four machine learning methods for spatial data handling: A review
  25. New machine learning method for image-based diagnosis of COVID-19
  26. Applications of machine learning methods for engineering risk assessment–A review
  27. A critical review of machine learning of energy materials
  28. State-of-the-art on research and applications of machine learning in the building life cycle
  29. Elastic machine learning algorithms in amazon sagemaker
  30. Applications of machine learning to diagnosis and treatment of neurodegenerative diseases
  31. Assessment of supervised machine learning methods for fluid flows
  32. Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
  33. First-order and Stochastic Optimization Methods for Machine Learning
  34. Explainable machine learning in deployment
  35. Machine learning for enterprises: Applications, algorithm selection, and challenges
  36. Multiscale modeling meets machine learning: What can we learn?
  37. Machine learning from a continuous viewpoint, I
  38. Machine learning applications in systems metabolic engineering
  39. Single trajectory characterization via machine learning
  40. Adversarial machine learning-industry perspectives
  41. Machine learning approaches for thermoelectric materials research
  42. Machine learning approaches for analyzing and enhancing molecular dynamics simulations
  43. Open graph benchmark: Datasets for machine learning on graphs
  44. Preparing medical imaging data for machine learning
  45. On hyperparameter optimization of machine learning algorithms: Theory and practice
  46. Machine learning techniques for the diagnosis of Alzheimer’s disease: A review
  47. CRISPR-based surveillance for COVID-19 using genomically-comprehensive machine learning design
  48. Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamics
  49. Personality research and assessment in the era of machine learning
  50. Machine learning force fields
  51. Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
  52. Applications of artificial intelligence and machine learning in smart cities
  53. Machine learning and wearable devices of the future
  54. Integrating physics-based modeling with machine learning: A survey
  55. The non-iid data quagmire of decentralized machine learning
  56. Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
  57. Machine learning and soil sciences: A review aided by machine learning tools
  58. Machine learning and deep learning techniques for cybersecurity: a review
  59. Identifying ethical considerations for machine learning healthcare applications
  60. Introduction to machine learning
  61. Machine learning for quantum matter
  62. Machine learning for glass science and engineering: A review
  63. Machine learning for continuous innovation in battery technologies
  64. An introduction to machine learning
  65. Applying machine learning in science assessment: a systematic review
  66. Machine learning for interatomic potential models
  67. Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
  68. FCHL revisited: Faster and more accurate quantum machine learning
  69. Machine-learning-assisted synthesis of polar racemates
  70. Clinical text data in machine learning: Systematic review
  71. Machine learning for genetic prediction of psychiatric disorders: a systematic review
  72. Wake modeling of wind turbines using machine learning
  73. A survey of surveys on the use of visualization for interpreting machine learning models
  74. Big-data science in porous materials: materials genomics and machine learning
  75. Machine learning
  76. The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
  77. Building thermal load prediction through shallow machine learning and deep learning
  78. Machine learning technology in biodiesel research: A review
  79. Machine learning driven smart electric power systems: Current trends and new perspectives
  80. What role does hydrological science play in the age of machine learning?
  81. Early diagnosis of hepatocellular carcinoma using machine learning method
  82. Image-based cardiac diagnosis with machine learning: a review
  83. Unsupervised machine learning and band topology
  84. Cybersecurity data science: an overview from machine learning perspective
  85. A survey of visual analytics techniques for machine learning
  86. Quantum embeddings for machine learning
  87. M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines
  88. Coronavirus Disease (COVID-19): A Machine learning bibliometric analysis
  89. Special issue on machine learning and data-driven methods in fluid dynamics
  90. A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic
  91. Metallurgy, mechanistic models and machine learning in metal printing
  92. A perspective on using machine learning in 3D bioprinting
  93. COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach
  94. The relationship between trust in AI and trustworthy machine learning technologies
  95. Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program)
  96. COVID-19 future forecasting using supervised machine learning models
  97. Mapping landslides on EO data: Performance of deep learning models vs. traditional machine learning models
  98. A biochemically-interpretable machine learning classifier for microbial GWAS
  99. Identifying scenarios of benefit or harm from kidney transplantation during the COVID‐19 pandemic: a stochastic simulation and machine learning study
  100. Machine learning analysis of whole mouse brain vasculature
  101. Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence
  102. Machine Learning Calabi–Yau Metrics
  103. Opening the black box: Interpretable machine learning for geneticists
  104. Machine learning in additive manufacturing: State-of-the-art and perspectives
  105. Machine learning approach to identify stroke within 4.5 hours
  106. Machine-learning quantum states in the NISQ era
  107. Machine learning as an early warning system to predict financial crisis
  108. Interpretable machine learning
  109. Landslide identification using machine learning
  110. Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning
  111. Recent advances on constraint-based models by integrating machine learning
  112. Machine Learning in oncology: A clinical appraisal
  113. Polymer design using genetic algorithm and machine learning
  114. Performance evaluation of machine learning methods for forest fire modeling and prediction
  115. Machine learning approach for confirmation of covid-19 cases: Positive, negative, death and release
  116. Learning earth system models from observations: machine learning or data assimilation?
  117. Machine Learning Meets Quantum Physics
  118. Clinical applications of continual learning machine learning
  119. Machine learning: accelerating materials development for energy storage and conversion
  120. Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
  121. A review on machine learning forecasting growth trends and their real-time applications in different energy systems
  122. A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
  123. Machine learning in geo-and environmental sciences: From small to large scale
  124. Blockchain and machine learning for communications and networking systems
  125. Machine learning and natural language processing in psychotherapy research: Alliance as example use case.
  126. Machine Learning for Solar Array Monitoring, Optimization, and Control
  127. Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
  128. Machine learning in agricultural and applied economics
  129. AutoML-zero: evolving machine learning algorithms from scratch
  130. A comprehensive survey of loss functions in machine learning
  131. COVID-19 epidemic analysis using machine learning and deep learning algorithms
  132. Attention in psychology, neuroscience, and machine learning
  133. Get rich or die trying… finding revenue model fit using machine learning and multiple cases
  134. How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selection
  135. Machine learning based solutions for security of Internet of Things (IoT): A survey
  136. Introduction to machine learning, neural networks, and deep learning
  137. Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0
  138. Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies
  139. Determinants of base editing outcomes from target library analysis and machine learning
  140. A primer for understanding radiology articles about machine learning and deep learning
  141. A machine‐learning approach for earthquake magnitude estimation
  142. Applying machine learning in liver disease and transplantation: a comprehensive review
  143. Machine learning approaches for elucidating the biological effects of natural products
  144. Systematic review of machine learning for diagnosis and prognosis in dermatology
  145. Early prediction of circulatory failure in the intensive care unit using machine learning
  146. Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions
  147. Machine learning applications for mass spectrometry-based metabolomics
  148. Improving the accuracy of medical diagnosis with causal machine learning
  149. A machine learning forecasting model for COVID-19 pandemic in India
  150. Machine learning in psychometrics and psychological research
  151. Automatic detection of coronavirus disease (covid-19) in x-ray and ct images: A machine learning-based approach
  152. Machine learning predicts new anti-CRISPR proteins
  153. Machine learning approaches to drug response prediction: challenges and recent progress
  154. Machine learning prediction of mechanical properties of concrete: Critical review
  155. An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications
  156. Crop yield prediction using machine learning: A systematic literature review
  157. Julia language in machine learning: Algorithms, applications, and open issues
  158. The impact of machine learning on patient care: A systematic review
  159. A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys
  160. Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
  161. Applications of machine learning predictive models in the chronic disease diagnosis
  162. Your evidence? Machine learning algorithms for medical diagnosis and prediction
  163. Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review
  164. Towards the systematic reporting of the energy and carbon footprints of machine learning
  165. Machine learning accurate exchange and correlation functionals of the electronic density
  166. Machine learning in additive manufacturing: A review
  167. Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approaches
  168. Explaining machine learning classifiers through diverse counterfactual explanations
  169. A deep feature learning model for pneumonia detection applying a combination of mRMR feature selection and machine learning models
  170. A review of epileptic seizure detection using machine learning classifiers
  171. Ai explainability 360: An extensible toolkit for understanding data and machine learning models
  172. Using machine learning to predict decisions of the European Court of Human Rights
  173. Intelligent edge computing based on machine learning for smart city
  174. Machine learning and its applications in plant molecular studies
  175. Machine learning for fluid mechanics
  176. A universal machine learning algorithm for large-scale screening of materials
  177. Coronavirus (covid-19) classification using ct images by machine learning methods
  178. Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential
  179. A survey of online data-driven proactive 5g network optimisation using machine learning
  180. Machine learning algorithms for construction projects delay risk prediction
  181. Toward interpretable machine learning: Transparent deep neural networks and beyond
  182. Influence of coronary calcium on diagnostic performance of machine learning CT-FFR: results from MACHINE registry
  183. PyFitit: The software for quantitative analysis of XANES spectra using machine-learning algorithms
  184. Machine learning-based classification of vector vortex beams
  185. Machine‐learning scoring functions for structure‐based drug lead optimization
  186. Potential neutralizing antibodies discovered for novel corona virus using machine learning
  187. Machine learning and artificial intelligence in haematology
  188. Machine learning on graphs: A model and comprehensive taxonomy
  189. Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning
  190. MadMiner: Machine learning-based inference for particle physics
  191. Machine learning for asset managers
  192. Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics
  193. Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review
  194. Hierarchical machine learning of potential energy surfaces
  195. Hybrid decision tree-based machine learning models for short-term water quality prediction
  196. Machine-learning studies on spin models
  197. Machine learning and data analytics for the IoT
  198. Quantum adversarial machine learning
  199. Engaging proactive control: Influences of diverse language experiences using insights from machine learning.
  200. Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
  201. Corporate default forecasting with machine learning
  202. Identification of light sources using machine learning
  203. Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows
  204. Performance evaluation of different machine learning methods and deep-learning based convolutional neural network for health decision making
  205. On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning
  206. Recent developments in machine learning for energy systems reliability management
  207. Machine learning and AI in marketing–Connecting computing power to human insights
  208. Prediction of criticality in patients with severe Covid-19 infection using three clinical features: a machine learning-based prognostic model with clinical data in …
  209. Machine-learning-accelerated perovskite crystallization
  210. A review on machine learning in 3D printing: Applications, potential, and challenges
  211. Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
  212. Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma
  213. An open source machine learning framework for efficient and transparent systematic reviews
  214. Machine learning in breast MRI
  215. Chemist versus Machine: Traditional Knowledge versus Machine Learning Techniques
  216. Machine learning models for secure data analytics: A taxonomy and threat model
  217. Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities
  218. Prediction of droughts over Pakistan using machine learning algorithms
  219. From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges
  220. Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI
  221. Physics-informed machine learning: case studies for weather and climate modelling
  222. How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
  223. Selecting appropriate machine learning methods for digital soil mapping
  224. Surveying the reach and maturity of machine learning and artificial intelligence in astronomy
  225. A clinician’s guide to artificial intelligence: how to critically appraise machine learning studies
  226. Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability
  227. Machine learning and artificial intelligence
  228. COVID-19 diagnosis prediction in emergency care patients: a machine learning approach
  229. The use of machine learning techniques in trauma-related disorders: a systematic review
  230. A review of machine learning applications in wildfire science and management
  231. Land-use land-cover classification by machine learning classifiers for satellite observations—A review
  232. Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping
  233. Machine learning for suicidology: A practical review of exploratory and hypothesis-driven approaches
  234. Fairness in machine learning
  235. A machine learning-based model for survival prediction in patients with severe COVID-19 infection
  236. Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning
  237. Modelling of shallow landslides with machine learning algorithms
  238. Predicting Regioselectivity in Radical C− H Functionalization of Heterocycles through Machine Learning
  239. Understanding from machine learning models
  240. Nothing to disconnect from? Being singular plural in an age of machine learning
  241. Supervised classification algorithms in machine learning: A survey and review
  242. Can machine learning find extraordinary materials?
  243. Incorporating biological structure into machine learning models in biomedicine
  244. Bitcoin price prediction using machine learning: An approach to sample dimension engineering
  245. Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
  246. Secure, privacy-preserving and federated machine learning in medical imaging
  247. Assessing and mapping multi-hazard risk susceptibility using a machine learning technique
  248. Classifying earthquake damage to buildings using machine learning
  249. The state of the art in enhancing trust in machine learning models with the use of visualizations
  250. The digital divide in light of sustainable development: An approach through advanced machine learning techniques
  251. Machine learning-based prediction of COVID-19 diagnosis based on symptoms
  252. Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
  253. Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry
  254. Predicting standardized streamflow index for hydrological drought using machine learning models
  255. Machine learning line bundle cohomology
  256. Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
  257. Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study
  258. Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous …
  259. Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning
  260. Secure and robust machine learning for healthcare: A survey
  261. A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions
  262. Dynamic backdoor attacks against machine learning models
  263. Flood susceptibility modelling using advanced ensemble machine learning models
  264. Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare
  265. Data-Driven Security Assessment of Power Grids Based on Machine Learning Approach
  266. Machine learning in rheumatology approaches the clinic
  267. A novel randomized machine learning approach: Reservoir computing extreme learning machine
  268. 5G vehicular network resource management for improving radio access through machine learning
  269. Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems
  270. Transformer fault diagnosis method using IoT based monitoring system and ensemble machine learning
  271. Machine learning based early warning system enables accurate mortality risk prediction for COVID-19
  272. Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm
  273. Data-driven symbol detection via model-based machine learning
  274. Machine learning models for drug–target interactions: current knowledge and future directions
  275. Machine‐learning scoring functions for structure‐based virtual screening
  276. Machine learning and artificial intelligence: Definitions, applications, and future directions
  277. Role of biological data mining and machine learning techniques in detecting and diagnosing the novel coronavirus (COVID-19): a systematic review
  278. Closed-loop optimization of fast-charging protocols for batteries with machine learning
  279. Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
  280. Improving risk prediction in heart failure using machine learning
  281. A perspective on machine learning methods in turbulence modeling
  282. Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies
  283. Machine learning in fetal cardiology: What to expect
  284. Molecular machine learning: the future of synthetic chemistry?
  285. Application and comparison of several machine learning algorithms and their integration models in regression problems
  286. A machine learning application for raising wash awareness in the times of covid-19 pandemic
  287. Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media
  288. Thirty years of machine learning: The road to Pareto-optimal wireless networks
  289. A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia
  290. Predicting and explaining corruption across countries: A machine learning approach
  291. Synergy Between Expert and Machine‐Learning Approaches Allows for Improved Retrosynthetic Planning
  292. Machine learning: hands-on for developers and technical professionals
  293. Conservation machine learning: a case study of random forests
  294. Machine-learning based study on the on-site renewable electrical performance of an optimal hybrid PCMs integrated renewable system with high-level parameters’ …
  295. BLAZE: blazing fast privacy-preserving machine learning
  296. Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches
  297. Data-driven predictive maintenance planning framework for MEP components based on BIM and IoT using machine learning algorithms
  298. Machine learning glass transition temperature of polyacrylamides using quantum chemical descriptors
  299. A review on machine learning algorithms to predict daylighting inside buildings
  300. Using machine learning in psychiatry: the need to establish a framework that nurtures trustworthiness
  301. Machine learning threatens 5G security
  302. FUNDAMENTAL APPLICATIONS OF MACHINE LEARNING ACROSS THE GLOBE
  303. Machine learning decomposition onset temperature of lubricant additives
  304. An efficient optimization approach for designing machine learning models based on genetic algorithm
  305. Deep machine learning approach to develop a new asphalt pavement condition index
  306. Rapid and accurate identification of COVID-19 infection through machine learning based on clinical available blood test results
  307. Review of machine learning methods in soft robotics
  308. Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
  309. Utilization of machine-learning models to accurately predict the risk for critical COVID-19
  310. A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition
  311. Comparing machine learning algorithms in predicting thermal sensation using ASHRAE Comfort Database II
  312. Reflections on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning
  313. Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning‐enabled molecular diagnostics
  314. Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models
  315. Prediction of CO2 solubility in ionic liquids using machine learning methods
  316. Forecasting air quality in Taiwan by using machine learning
  317. Machine learning and network analyses reveal disease subtypes of pancreatic cancer and their molecular characteristics
  318. A trustworthy privacy preserving framework for machine learning in industrial iot systems
  319. Structural Deformation Controls Charge Losses in MAPbI3: Unsupervised Machine Learning of Nonadiabatic Molecular Dynamics
  320. Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models
  321. A path for translation of machine learning products into healthcare delivery
  322. Data and its (dis) contents: A survey of dataset development and use in machine learning research
  323. Gas turbine performance prediction via machine learning
  324. Prospective and external evaluation of a machine learning model to predict in-hospital mortality of adults at time of admission
  325. Biophysical prediction of protein–peptide interactions and signaling networks using machine learning
  326. Identification of high impact factors of air quality on a national scale using big data and machine learning techniques
  327. Effect of data encoding on the expressive power of variational quantum-machine-learning models
  328. Deep Dive into Machine Learning Models for Protein Engineering
  329. Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
  330. Machine learning glass transition temperature of polymers
  331. Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison
  332. Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox
  333. Testing machine learning based systems: a systematic mapping
  334. Flexible piezoelectric acoustic sensors and machine learning for speech processing
  335. Robust machine learning systems: Challenges, current trends, perspectives, and the road ahead
  336. Analyzing and predicting students’ performance by means of machine learning: a review
  337. GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning.
  338. The role of sensors, big data and machine learning in modern animal farming
  339. Performance comparison of machine learning techniques in identifying dementia from open access clinical datasets
  340. Machine learning for combinatorial optimization: a methodological tour d’horizon
  341. Machine learning: Algorithms, real-world applications and research directions
  342. Machine-learning approach expands the repertoire of anti-CRISPR protein families
  343. ChemML: A machine learning and informatics program package for the analysis, mining, and modeling of chemical and materials data
  344. Machine Learning Gauged Supergravity
  345. Machine learning to reveal nanoparticle dynamics from liquid-phase tem videos
  346. Suicidal ideation detection: A review of machine learning methods and applications
  347. Multitask learning over graphs: An approach for distributed, streaming machine learning
  348. 6G white paper on machine learning in wireless communication networks
  349. Machine learning prediction of critical transition and system collapse
  350. Machine learning Calabi-Yau four-folds
  351. Machine learning and big data in the impact literature. A bibliometric review with scientific mapping in Web of science
  352. A Machine Learning‐Based Global Atmospheric Forecast Model
  353. MP2ML: a mixed-protocol machine learning framework for private inference
  354. Machine Learning in Quantitative PET Imaging
  355. Visual analysis of discrimination in machine learning
  356. Machine learning for the solution of the Schrödinger equation
  357. Real-world application of machine-learning-based fault detection trained with experimental data
  358. Machine learning strategies applied to the control of a fluidic pinball
  359. Machine-learning-optimized aperiodic superlattice minimizes coherent phonon heat conduction
  360. Combining data assimilation and machine learning to infer unresolved scale parametrization
  361. Introducing Machine Learning: Science and Technology
  362. Machine Learning for Structural Materials
  363. Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
  364. Estimating entropy production by machine learning of short-time fluctuating currents
  365. Intelligent traffic control for autonomous vehicle systems based on machine learning
  366. Diabetes prediction using ensembling of different machine learning classifiers
  367. Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow
  368. Decentralized stochastic optimization and machine learning: A unified variance-reduction framework for robust performance and fast convergence
  369. Machine learning for detecting early infarction in acute stroke with non–contrast-enhanced CT
  370. Machine learning the thermodynamic arrow of time
  371. Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning
  372. Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology
  373. Survey on IoT security: challenges and solution using machine learning, artificial intelligence and blockchain technology
  374. A segmented machine learning modeling approach of social media for predicting occupancy
  375. Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city
  376. Double debiased machine learning nonparametric inference with continuous treatments
  377. Long-term prediction of chaotic systems with machine learning
  378. SurvLIME: A method for explaining machine learning survival models
  379. Teaching optics to a machine learning network
  380. Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
  381. toward enhanced State of charge estimation of Lithium-ion Batteries Using optimized Machine Learning techniques
  382. When do short-range atomistic machine-learning models fall short?
  383. Machine learning of noise-resilient quantum circuits
  384. Machine learning based code dissemination by selection of reliability mobile vehicles in 5G networks
  385. Predicting product return volume using machine learning methods
  386. A non-review of Quantum Machine Learning: trends and explorations
  387. A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
  388. Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms
  389. Machine Learning-Based PV Reserve Determination Strategy for Frequency Control on the WECC System
  390. Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability
  391. The impact of entrepreneurship orientation on project performance: A machine learning approach
  392. Data science in economics: comprehensive review of advanced machine learning and deep learning methods
  393. Prediction of survival for severe Covid-19 patients with three clinical features: development of a machine learning-based prognostic model with clinical data in …
  394. Machine learning for dummies
  395. Prediction of condition-specific regulatory genes using machine learning
  396. Machine learning the magnetocaloric effect in manganites from lattice parameters
  397. giotto-tda: A topological data analysis toolkit for machine learning and data exploration
  398. Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
  399. Comparison of machine learning methods with traditional models for use of administrative claims with electronic medical records to predict heart failure outcomes
  400. Analysis on novel coronavirus (COVID-19) using machine learning methods
  401. Towards novel insights in lattice field theory with explainable machine learning
  402. Infrared spectroscopy data-and physics-driven machine learning for characterizing surface microstructure of complex materials
  403. Machine learning models to quantify and map daily global solar radiation and photovoltaic power
  404. Machine learning based intrusion detection systems for IoT applications
  405. Predicting bank insolvencies using machine learning techniques
  406. Precision psychiatry applications with pharmacogenomics: Artificial intelligence and machine learning approaches
  407. Automated classification of significant prostate cancer on MRI: A systematic review on the performance of machine learning applications
  408. Correlation between temperature and COVID-19 (suspected, confirmed and death) cases based on machine learning analysis
  409. Machine learning in IoT security: Current solutions and future challenges
  410. The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review
  411. Machine learning and big scientific data
  412. Machine learning for model error inference and correction
  413. Participation is not a design fix for machine learning
  414. Considerations for selecting a machine learning technique for predicting deforestation
  415. Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
  416. Advancing Biosensors with Machine Learning
  417. The need for a system view to regulate artificial intelligence/machine learning-based software as medical device
  418. Statistical and machine learning models in credit scoring: A systematic literature survey
  419. A review on cooling performance enhancement for phase change materials integrated systems—flexible design and smart control with machine learning applications
  420. Linear Algebra and Optimization for Machine Learning
  421. Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms
  422. Submodularity in action: From machine learning to signal processing applications
  423. Introduction of a time series machine learning methodology for the application in a production system
  424. Machine learning the central magnetic flux density of superconducting solenoids
  425. Flexible machine learning-based cyberattack detection using spatiotemporal patterns for distribution systems
  426. Climbing down Charney’s ladder: machine learning and the post-Dennard era of computational climate science
  427. A machine learning model for emotion recognition from physiological signals
  428. Toward an intelligent edge: Wireless communication meets machine learning
  429. Validating the validation: reanalyzing a large-scale comparison of deep learning and machine learning models for bioactivity prediction
  430. Spatial prediction of PM10 concentration using machine learning algorithms in Ankara, Turkey
  431. Empirical asset pricing via machine learning
  432. Comparison of machine learning models for gully erosion susceptibility mapping
  433. Development of a machine learning based algorithm to accurately detect schizophrenia based on one-minute EEG recordings
  434. Assessing cardiovascular risks from a mid-thigh CT image: a tree-based machine learning approach using radiodensitometric distributions
  435. Machine learning and knowledge graph based design rule construction for additive manufacturing
  436. Machine learning for long-distance quantum communication
  437. Landslide susceptibility evaluation and management using different machine learning methods in the Gallicash River Watershed, Iran
  438. Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays
  439. Machine learning reveals serum sphingolipids as cholesterol-independent biomarkers of coronary artery disease
  440. Machine learning dihydrogen activation in the chemical space surrounding Vaska’s complex
  441. On classifying sepsis heterogeneity in the ICU: insight using machine learning
  442. Phishing web site detection using diverse machine learning algorithms
  443. Automated self-optimisation of multi-step reaction and separation processes using machine learning
  444. Evaluation of short-term freeway speed prediction based on periodic analysis using statistical models and machine learning models
  445. Explainable artificial intelligence and machine learning: A reality rooted perspective
  446. Machine learning for collective variable discovery and enhanced sampling in biomolecular simulation
  447. Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process
  448. Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models
  449. Inverse design of topological metaplates for flexural waves with machine learning
  450. Assessing the drivers of machine learning business value
  451. Neural additive models: Interpretable machine learning with neural nets
  452. Conventional and machine learning approaches as countermeasures against hardware trojan attacks
  453. Using machine learning to estimate unobserved COVID-19 infections in North America
  454. Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big …
  455. Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming
  456. Improving cyberbullying detection using Twitter users’ psychological features and machine learning
  457. Classifying convective storms using machine learning
  458. Robustness in machine learning explanations: does it matter?
  459. Machine learning modeling of lattice constants for half-Heusler alloys
  460. Asthma-prone areas modeling using a machine learning model
  461. Identification of risk factors associated with obesity and overweight—A machine learning overview
  462. Fairness in Machine Learning for Healthcare
  463. A review of machine learning approaches to power system security and stability
  464. Artificial intelligence and machine learning in design of mechanical materials
  465. Learning to Make chemical predictions: the Interplay of feature representation, data, and machine learning methods
  466. Performance and efficiency of machine learning algorithms for analyzing rectangular biomedical data
  467. High-performance diagnosis of sleep disorders: a novel, accurate and fast machine learning approach using electroencephalographic data
  468. Quantum machine learning models are kernel methods
  469. Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
  470. Machine learning lattice constants for cubic perovskite A 2 2+ BB′ O 6 compounds
  471. Adversarial Machine Learning for 5G Communications Security
  472. Machine learning lattice parameters of monoclinic double perovskites
  473. A comprehensive survey and analysis of generative models in machine learning
  474. Experimental velocity data estimation for imperfect particle images using machine learning
  475. Artificial intelligence and machine learning in computational nanotoxicology: Unlocking and empowering nanomedicine
  476. Carbon trading volume and price forecasting in China using multiple machine learning models
  477. Machine learning for structural health monitoring: challenges and opportunities
  478. Machine learning for predictive scheduling and resource allocation in large scale manufacturing systems
  479. Integrating complex event processing and machine learning: An intelligent architecture for detecting IoT security attacks
  480. Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms
  481. Machine learning on density and elastic property of oxide glasses driven by large dataset
  482. Scientific intuition inspired by machine learning generated hypotheses
  483. A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques
  484. Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
  485. Enhancing gravitational-wave science with machine learning
  486. Machine learning active-nematic hydrodynamics
  487. Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach
  488. Electronic skins and machine learning for intelligent soft robots
  489. Artificial intelligence and machine learning in respiratory medicine
  490. Machine Learning Band Gaps of Doped-TiO2 Photocatalysts from Structural and Morphological Parameters
  491. Galaxy morphological classification in deep-wide surveys via unsupervised machine learning
  492. Machine learning for intelligent optical networks: A comprehensive survey
  493. Designing exceptional gas-separation polymer membranes using machine learning
  494. From machine learning to deep learning: Advances in scoring functions for protein–ligand docking
  495. Mathematics for machine learning
  496. Machine learning methods for microbiome studies
  497. Insights from machine learning of carbon electrodes for electric double layer capacitors
  498. Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques
  499. Machine learning assisted quantum state estimation
  500. Machine Learning in Mass Spectrometric Analysis of DIA Data
  501. Improving pressure drops estimation of fresh cemented paste backfill slurry using a hybrid machine learning method
  502. A Comprehensive Analysis of Triggers and Risk Factors for Asthma Based on Machine Learning and Large Heterogeneous Data Sources.
  503. Machine learning recommends affordable new Ti alloy with bone-like modulus
  504. Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods
  505. Interpreting machine learning of topological quantum phase transitions
  506. Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization
  507. Multi-object detection and tracking (MODT) machine learning model for real-time video surveillance systems
  508. Classification of mechanism of reinforcement in the fiber-matrix interface: Application of Machine Learning on nanoindentation data
  509. Predicting mortgage early delinquency with machine learning methods
  510. An empirical characterization of fair machine learning for clinical risk prediction
  511. Development of an ensemble of machine learning algorithms to model aerobic granular sludge reactors
  512. Combining medicinal plant in vitro culture with machine learning technologies for maximizing the production of phenolic compounds
  513. ABC-RuleMiner: User behavioral rule-based machine learning method for context-aware intelligent services
  514. Urban flow prediction from spatiotemporal data using machine learning: A survey
  515. Machine learning solutions to challenges in finance: An application to the pricing of financial products
  516. Integration of handheld NIR and machine learning to “Measure & Monitor” chicken meat authenticity
  517. Covid-19 outbreak prediction with machine learning
  518. A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and …
  519. Machine learning holography for 3D particle field imaging
  520. Investigating the gene expression profiles of cells in seven embryonic stages with machine learning algorithms
  521. Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine
  522. Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing
  523. Hidden stratification causes clinically meaningful failures in machine learning for medical imaging
  524. An empirical study on the perceived fairness of realistic, imperfect machine learning models
  525. Intersections of machine learning and epidemiological methods for health services research
  526. Crystal symmetry determination in electron diffraction using machine learning
  527. A machine learning based approach for predicting blockchain adoption in supply Chain
  528. Machine learning study of the mechanical properties of concretes containing waste foundry sand
  529. Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data
  530. Hierarchical intrusion detection using machine learning and knowledge model
  531. ExplainExplore: visual exploration of machine learning explanations
  532. A machine learning-based prognostic predictor for stage III colon cancer
  533. The application potential of machine learning and genomics for understanding natural product diversity, chemistry, and therapeutic translatability
  534. Machine learning to detect self-reporting of symptoms, testing access, and recovery associated with COVID-19 on Twitter: retrospective big data infoveillance …
  535. Breast cancer detection by leveraging Machine Learning
  536. Early diagnosis of Parkinson’s disease using machine learning algorithms
  537. Machine learning for accurate force calculations in molecular dynamics simulations
  538. Heart disease identification from patients’ social posts, machine learning solution on Spark
  539. Machine learning models for the prediction of energy, forces, and stresses for platinum
  540. The value of collaboration in convex machine learning with differential privacy
  541. Exploiting machine learning to efficiently predict multidimensional optical spectra in complex environments
  542. Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods
  543. Series dc arc fault detection based on ensemble machine learning
  544. Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation
  545. Epidemic model guided machine learning for COVID-19 forecasts in the United States
  546. Machine learning algorithms for smart data analysis in internet of things environment: taxonomies and research trends
  547. A note on knowledge discovery and machine learning in digital soil mapping
  548. Machine learning for neural decoding
  549. Machine learning, COVID‐19 (2019‐nCoV), and multi‐OMICS
  550. MLPerf: An industry standard benchmark suite for machine learning performance
  551. Machine learning approach for pavement performance prediction
  552. Machine learning: A powerful tool for gene function prediction in plants
  553. Construction of a machine learning dataset through collaboration: the RSNA 2019 brain CT hemorrhage challenge
  554. On the relationship of machine learning with causal inference
  555. A Review on Machine Learning for EEG Signal Processing in Bioengineering
  556. Machine learning classifiers for Twitter surveillance of vaping: Comparative machine learning study
  557. A general-purpose machine-learning force field for bulk and nanostructured phosphorus
  558. NMR signal processing, prediction, and structure verification with machine learning techniques
  559. Machine learning time series regressions with an application to nowcasting
  560. Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis
  561. Machine learning on DNA-encoded libraries: A new paradigm for hit finding
  562. Development of an online health care assessment for preventive medicine: A machine learning approach
  563. Finding People with Emotional Distress in Online Social Media: A Design Combining Machine Learning and Rule-Based Classification.
  564. A Machine Learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions
  565. Active flow control using machine learning: A brief review
  566. Machine learning optical band gaps of doped-ZnO films
  567. Using machine learning to model problematic smartphone use severity: The significant role of fear of missing out
  568. Machine learning adds to clinical and CAC assessments in predicting 10-year CHD and CVD deaths
  569. Rapid classification of quantum sources enabled by machine learning
  570. Structure-function coupling in the human connectome: A machine learning approach
  571. Predicting Perceived Stress Related to the Covid-19 Outbreak through Stable Psychological Traits and Machine Learning Models
  572. Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models
  573. Modelling bioaccumulation of heavy metals in soil-crop ecosystems and identifying its controlling factors using machine learning
  574. A survey of voice pathology surveillance systems based on internet of things and machine learning algorithms
  575. What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach
  576. Machine learning based video coding optimizations: A survey
  577. FLASH: fast and robust framework for privacy-preserving machine learning
  578. Lattice dynamics simulation using machine learning interatomic potentials
  579. Hybrid machine learning EDFA model
  580. The compatibility of theoretical frameworks with machine learning analyses in psychological research
  581. Petrofacies classification using machine learning algorithms
  582. A machine learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China
  583. Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing
  584. How is machine learning useful for macroeconomic forecasting?
  585. Machine learning for surgical phase recognition: a systematic review
  586. Machine learning maximized Anderson localization of phonons in aperiodic superlattices
  587. Mapping wind erosion hazard with regression-based machine learning algorithms
  588. Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
  589. Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
  590. Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning
  591. Elucidating Structure–Property Relationships in Aluminum Alloy Corrosion Inhibitors by Machine Learning
  592. A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic …
  593. A comparison of machine learning methods for the prediction of traffic speed in urban places
  594. An experimental analysis of machine learning classification algorithms on biomedical data
  595. Maintenance management based on Machine Learning and nonlinear features in wind turbines
  596. Landslide susceptibility evaluation using hybrid integration of evidential belief function and machine learning techniques
  597. Machine learning accelerated recovery of the cubic structure in mixed-cation perovskite thin films
  598. High-Fidelity Potential Energy Surfaces for Gas-Phase and Gas–Surface Scattering Processes from Machine Learning
  599. Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes
  600. Machine-Learning-Guided Morphology Engineering of Nanoscale Metal-Organic Frameworks
  601. Classifying travelers’ driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning
  602. Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
  603. Designing predictive maintenance systems using decision tree-based machine learning techniques
  604. First principles and machine learning virtual flow metering: a literature review
  605. A multi-stage method to predict carbon dioxide emissions using dimensionality reduction, clustering, and machine learning techniques
  606. Improving energy expenditure estimates from wearable devices: A machine learning approach
  607. Exploring phononic properties of two-dimensional materials using machine learning interatomic potentials
  608. A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes
  609. Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting
  610. Extending machine learning classification capabilities with histogram reweighting
  611. CRISPR-based COVID-19 surveillance using a genomically-comprehensive machine learning approach
  612. Interpretability of machine learning‐based prediction models in healthcare
  613. New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning
  614. CellBox: Interpretable Machine Learning for Perturbation Biology with Application to the Design of Cancer Combination Therapy
  615. Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
  616. Data analysis of COVID-2019 epidemic using machine learning methods: a case study of India
  617. Machine learning the magnetocaloric effect in manganites from compositions and structural parameters
  618. Machine learning aided air traffic flow analysis based on aviation big data
  619. An accurate and dynamic predictive model for a smart M-Health system using machine learning
  620. Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning
  621. The promise of implementing machine learning in earthquake engineering: A state-of-the-art review
  622. (What) Can Journalism Studies Learn from Supervised Machine Learning?
  623. Predictive modeling of biomass gasification with machine learning-based regression methods
  624. Estimating nitrogen and phosphorus concentrations in streams and rivers, within a machine learning framework
  625. An Automated Machine Learning architecture for the accelerated prediction of Metal-Organic Frameworks performance in energy and environmental applications
  626. Machine-learning prediction for quasiparton distribution function matrix elements
  627. Classical versus quantum models in machine learning: insights from a finance application
  628. Machine learning predicts large scale declines in native plant phylogenetic diversity
  629. Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects
  630. Feature validity during machine learning paradigms for predicting biodiesel purity
  631. Analyzing the compressive strength of green fly ash based geopolymer concrete using experiment and machine learning approaches
  632. Realizing an efficient IoMT-assisted patient diet recommendation system through machine learning model
  633. Machine learning and glioma imaging biomarkers
  634. Identifying predictive features of autism spectrum disorders in a clinical sample of adolescents and adults using machine learning
  635. Machine learning on volatile instances
  636. Machine learning for analysis of microscopy images: A practical guide
  637. Machine learning based very short term load forecasting of machine tools
  638. Machine learning framework for sensing and modeling interference in IoT frequency bands
  639. Machine learning to identify persons at high-risk of human immunodeficiency virus acquisition in rural Kenya and Uganda
  640. A novel machine learning approach combined with optimization models for eco-efficiency evaluation
  641. Tree‐Based Machine Learning to Identify and Understand Major Determinants for Stroke at the Neighborhood Level
  642. Applying machine learning optimization methods to the production of a quantum gas
  643. Improving workflow efficiency for mammography using machine learning
  644. Adversarial machine learning: An interpretation perspective
  645. Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward
  646. Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications
  647. Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods
  648. Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods
  649. Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities
  650. Machine learning-based models for the concrete breakout capacity prediction of single anchors in shear
  651. Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction
  652. Accurate prediction of COVID-19 using chest x-ray images through deep feature learning model with smote and machine learning classifiers
  653. Real-time hand gesture recognition using surface electromyography and machine learning: A systematic literature review
  654. Morphological and molecular breast cancer profiling through explainable machine learning
  655. Medical Internet of things using machine learning algorithms for lung cancer detection
  656. When Malware is Packin’Heat; Limits of Machine Learning Classifiers Based on Static Analysis Features
  657. Machine learning lattice constants for cubic perovskite compounds
  658. Medical information retrieval systems for e-Health care records using fuzzy based machine learning model
  659. Dye-sensitized solar cells under ambient light powering machine learning: towards autonomous smart sensors for the internet of things
  660. Speeding up discovery of auxetic zeolite frameworks by machine learning
  661. Machine learning analysis on stability of perovskite solar cells
  662. Making machine learning a useful tool in the accelerated discovery of transition metal complexes
  663. Generating energy data for machine learning with recurrent generative adversarial networks
  664. Corrauc: a malicious bot-iot traffic detection method in iot network using machine learning techniques
  665. The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers
  666. Machine Learning Models of Vibrating H2CO: Comparing Reproducing Kernels, FCHL, and PhysNet
  667. Comparative analysis of image classification algorithms based on traditional machine learning and deep learning
  668. Portfolio optimization with return prediction using deep learning and machine learning
  669. NPMML: A framework for non-interactive privacy-preserving multi-party machine learning
  670. Machine-learning nonstationary noise out of gravitational-wave detectors
  671. Machine learning surrogates for molecular dynamics simulations of soft materials
  672. Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach
  673. Three-dimensional vectorial holography based on machine learning inverse design
  674. Applicability of machine learning in spam and phishing email filtering: review and approaches
  675. Nonparametric machine learning and efficient computation with bayesian additive regression trees: the BART R package
  676. MEWS++: enhancing the prediction of clinical deterioration in admitted patients through a machine learning model
  677. Artificial intelligence, machine learning, and deep learning in women’s health nursing
  678. Contextpca: Predicting context-aware smartphone apps usage based on machine learning techniques
  679. A machine learning approach to predict outdoor thermal comfort using local skin temperatures
  680. Applying machine learning in self-adaptive systems: A systematic literature review
  681. Performance of a machine learning algorithm in predicting outcomes of aortic valve replacement
  682. Machine learning for pore-water pressure time-series prediction: application of recurrent neural networks
  683. AGL: a scalable system for industrial-purpose graph machine learning
  684. Scaling tree-based automated machine learning to biomedical big data with a feature set selector
  685. Author Correction: Machine learning model to project the impact of COVID-19 on US motor gasoline demand
  686. Reaching the end-game for GWAS: machine learning approaches for the prioritization of complex disease loci
  687. Levels of Analysis for Machine Learning
  688. Predictably unequal? the effects of machine learning on credit markets
  689. Machine learning for recognizing minerals from multispectral data
  690. Real-time forecasting of the COVID-19 outbreak in Chinese provinces: machine learning approach using novel digital data and estimates from mechanistic …
  691. Static and dynamic malware analysis using machine learning
  692. Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing
  693. Comparative prediction of confirmed cases with COVID-19 pandemic by machine learning, deterministic and stochastic SIR models
  694. Microplastic identification via holographic imaging and machine learning
  695. Congestion prediction for smart sustainable cities using IoT and machine learning approaches
  696. Machine Learning String Standard Models
  697. Recent scalability improvements for semidefinite programming with applications in machine learning, control, and robotics
  698. Machine learning using digitized herbarium specimens to advance phenological research
  699. Yield prediction with machine learning algorithms and satellite images
  700. Machine learning–assisted global optimization of photonic devices
  701. Efficient machine-learning based interatomic potentialsfor exploring thermal conductivity in two-dimensional materials
  702. Connecting dualities and machine learning
  703. How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation
  704. Item response theory based ensemble in machine learning
  705. Landslide susceptibility prediction based on remote sensing images and GIS: Comparisons of supervised and unsupervised machine learning models
  706. Teaching yourself about structural racism will improve your machine learning
  707. Performance and cost assessment of machine learning interatomic potentials
  708. A machine learning workflow for raw food spectroscopic classification in a future industry
  709. A machine learning approach predicts future risk to suicidal ideation from social media data
  710. Intelligent compilation of patent summaries using machine learning and natural language processing techniques
  711. Quality classification of Jatropha curcas seeds using radiographic images and machine learning
  712. Ensemble of machine learning algorithms for cryptocurrency investment with different data resampling methods
  713. Challenges to the reproducibility of machine learning models in health care
  714. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
  715. Resource allocation with edge computing in iot networks via machine learning
  716. SmartSPR sensor: Machine learning approaches to create intelligent surface plasmon based sensors
  717. Computational system to classify cyber crime offenses using machine learning
  718. Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networks
  719. Artificial intelligence and machine learning for HIV prevention: Emerging approaches to ending the epidemic
  720. Machine-learning-assisted metasurface design for high-efficiency thermal emitter optimization
  721. Multiplex assays for the identification of serological signatures of SARS-CoV-2 infection: an antibody-based diagnostic and machine learning study
  722. Assessing conformer energies using electronic structure and machine learning methods
  723. A machine learning based intrusion detection system for mobile Internet of Things
  724. Synthesis of control barrier functions using a supervised machine learning approach
  725. Machine Learning-Aided Identification of Single Atom Alloy Catalysts
  726. Obstructive Sleep Apnea: A Prediction Model Using Supervised Machine Learning Method
  727. Machine learning prediction of mortality and hospitalization in heart failure with preserved ejection fraction
  728. Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions
  729. Data poisoning attacks on federated machine learning
  730. iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning
  731. Radiomics in stratification of pancreatic cystic lesions: Machine learning in action
  732. Selective encryption on ECG data in body sensor network based on supervised machine learning
  733. Machine learning classification of new asteroid families members
  734. Inter-dataset generalization strength of supervised machine learning methods for intrusion detection
  735. First-principles machine learning modelling of COVID-19
  736. Landscape aesthetics: Spatial modelling and mapping using social media images and machine learning
  737. Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid
  738. Machine learning for accurate intraoperative pediatric middle ear effusion diagnosis
  739. Predicting the hydrogen release ability of LiBH4-based mixtures by ensemble machine learning
  740. Predicting crystallization tendency of polymers using multifidelity information fusion and machine learning
  741. An Overview on Predicting Protein Subchloroplast Localization by using Machine Learning Methods.
  742. Machine learning identifies scale-free properties in disordered materials
  743. ORELM: A novel machine learning approach for prediction of flyrock in mine blasting
  744. River water salinity prediction using hybrid machine learning models
  745. [CITATION][C] Fundamentals of machine learning for predictive data analytics: algorithms, worked examples, and case studies
  746. Predictive modelling and analytics for diabetes using a machine learning approach
  747. When machine learning meets medical world: Current status and future challenges
  748. An electrocardiographic system with anthropometrics via machine learning to screen left ventricular hypertrophy among young adults
  749. Identifying knot types of polymer conformations by machine learning
  750. The convergence of digital twin, IoT, and machine learning: transforming data into action
  751. Machine-learning-assisted de novo design of organic molecules and polymers: opportunities and challenges
  752. Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method
  753. Interactive three-dimensional visualization of network intrusion detection data for machine learning
  754. Analysis of the COVID-19 pandemic by SIR model and machine learning technics for forecasting
  755. Machine learning and statistical methods for clustering single-cell RNA-sequencing data
  756. Determining Philippine coconut maturity level using machine learning algorithms based on acoustic signal
  757. Machine learning–driven language assessment
  758. Generating high-resolution daily soil moisture by using spatial downscaling techniques: A comparison of six machine learning algorithms
  759. Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging
  760. A hybrid posture detection framework: Integrating machine learning and deep neural networks
  761. MeLIME: Meaningful local explanation for machine learning models
  762. Electric dipole descriptor for machine learning prediction of catalyst surface–molecular adsorbate interactions
  763. A machine learning and distributionally robust optimization framework for strategic energy planning under uncertainty
  764. Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks
  765. Machine learning in materials genome initiative: A review
  766. Prediction of type 2 diabetes using machine learning classification methods
  767. DLHub: Simplifying publication, discovery, and use of machine learning models in science
  768. Predicting breast cancer in Chinese women using machine learning techniques: algorithm development
  769. Rage Against the Machine: Advancing the study of aggression ethology via machine learning.
  770. Explore the relationship between fish community and environmental factors by machine learning techniques
  771. Towards a theory of machine learning
  772. Stock price prediction using machine learning and LSTM-based deep learning models
  773. Machine learning for the built heritage archaeological study
  774. Mass load prediction for lithium-ion battery electrode clean production: a machine learning approach
  775. Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study
  776. Applying machine learning methods to better understand, model and estimate mass concentrations of traffic-related pollutants at a typical street canyon
  777. Daily retail demand forecasting using machine learning with emphasis on calendric special days
  778. Susceptibility mapping of soil water erosion using machine learning models
  779. Securing Internet of Things (IoT) with machine learning
  780. Using machine learning for measuring democracy: An update
  781. Survey on privacy-preserving machine learning
  782. Uncovering the eutectics design by machine learning in the Al–Co–Cr–Fe–Ni high entropy system
  783. Machine learning for prediction with missing dynamics
  784. Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population
  785. Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions
  786. Distributed gradient methods for convex machine learning problems in networks: Distributed optimization
  787. The Age of Data‐Driven Proteomics: How Machine Learning Enables Novel Workflows
  788. Application of raw accelerometer data and machine-learning techniques to characterize human movement behavior: a systematic scoping review
  789. Machine learning versus economic restrictions: Evidence from stock return predictability
  790. A new machine learning model based on induction of rules for autism detection
  791. H2o automl: Scalable automatic machine learning
  792. Artificial intelligence and machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis
  793. Accelerated first-order optimization algorithms for machine learning
  794. Federated machine learning for intelligent IoT via reconfigurable intelligent surface
  795. A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
  796. Optimizing high-efficiency quantum memory with quantum machine learning for near-term quantum devices
  797. Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning
  798. Detection of gravitational-wave signals from binary neutron star mergers using machine learning
  799. Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India
  800. Machine learning phase transitions with a quantum processor
  801. Machine learning for predicting properties of porous media from 2d X-ray images
  802. A consensus-based global optimization method for high dimensional machine learning problems
  803. Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles
  804. Machine learning F-doped Bi (Pb)–Sr–Ca–Cu–O superconducting transition temperature
  805. Homomorphic encryption for machine learning in medicine and bioinformatics
  806. Predicting thermal properties of crystals using machine learning
  807. Using favorite data to analyze asymmetric competition: Machine learning models
  808. Machine learning based approaches for detecting COVID-19 using clinical text data
  809. Improving efficiency of RFID-based traceability system for perishable food by utilizing IoT sensors and machine learning model
  810. Forecasting client retention—A machine-learning approach
  811. Ores: Lowering barriers with participatory machine learning in wikipedia
  812. Application of machine learning techniques to predict binding affinity for drug targets. A study of Cyclin-dependent kinase 2
  813. Securing connected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward
  814. Remote sensing and machine learning for crop water stress determination in various crops: a critical review
  815. Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth
  816. A systematic review on supervised and unsupervised machine learning algorithms for data science
  817. Machine-Learning Assisted Screening of Energetic Materials
  818. Prediction of methane adsorption in shale: Classical models and machine learning based models
  819. Identifying and correcting label bias in machine learning
  820. Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches
  821. A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis
  822. Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions
  823. Automatic Detection and Grading of Multiple Fruits by Machine Learning
  824. Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling
  825. Machine learning from schools about energy efficiency
  826. Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning
  827. Energy consumption prediction and diagnosis of public buildings based on support vector machine learning: A case study in China
  828. Measuring Social Desirability Using a Novel Machine Learning Approach Based on EEG Data.
  829. Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning
  830. Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts
  831. Validation of a machine learning algorithm to predict 180-day mortality for outpatients with cancer
  832. Machine Learning-based traffic prediction models for Intelligent Transportation Systems
  833. Machine learning techniques for monthly river flow forecasting of Hunza River, Pakistan
  834. Targeted prescription of cognitive–behavioral therapy versus person-centered counseling for depression using a machine learning approach.
  835. Machine learning classification of ADHD and HC by multimodal serotonergic data
  836. Classification and prediction of diabetes disease using machine learning paradigm
  837. Machine learning-based models for real-time traffic flow prediction in vehicular networks
  838. Conventional machine learning and deep learning approach for multi-classification of breast cancer histopathology images—a comparative insight
  839. Machine-learning dessins d’enfants: explorations via modular and Seiberg–Witten curves
  840. Single-and multi-fault diagnosis using machine learning for variable frequency drive-fed induction motors
  841. Classification and clustering algorithms of machine learning with their applications
  842. Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
  843. Investigating sense of place of the Las Vegas Strip using online reviews and machine learning approaches
  844. Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach
  845. Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys
  846. Depression screening using mobile phone usage metadata: a machine learning approach
  847. Predicting likelihood of psychological disorders in PlayerUnknown’s Battlegrounds (PUBG) players from Asian countries using supervised machine learning
  848. Machine learning and treatment outcome prediction for oral cancer
  849. Detecting DDoS attacks in software-defined networks through feature selection methods and machine learning models
  850. Applications of machine learning and deep learning to thyroid imaging: where do we stand?
  851. Sarcasm detection using machine learning algorithms in Twitter: A systematic review
  852. A large empirical assessment of the role of data balancing in machine-learning-based code smell detection
  853. A Hierarchy of Limitations in Machine Learning
  854. Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms
  855. … assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models
  856. Elucidating the Physicochemical Basis of the Glass Transition Temperature in Linear Polyurethane Elastomers with Machine Learning
  857. Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security
  858. Toward designing highly conductive polymer electrolytes by machine learning assisted coarse-grained molecular dynamics
  859. A time series analysis-based stock price prediction using machine learning and deep learning models
  860. IoT and machine learning approaches for automation of farm irrigation system
  861. [CITATION][C] Machine learning refined: foundations, algorithms, and applications
  862. Machine learning for suicide risk prediction in children and adolescents with electronic health records
  863. Evaluating the bond strength of FRP in concrete samples using machine learning methods
  864. Passive and active phase change materials integrated building energy systems with advanced machine-learning based climate-adaptive designs, intelligent …
  865. Personalized prognostic prediction of treatment outcome for depressed patients in a naturalistic psychiatric hospital setting: A comparison of machine learning …
  866. Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning
  867. Machine learning-based prediction of crystal systems and space groups from inorganic materials compositions
  868. Value of fuzzy logic for data mining and machine learning: A case study
  869. Explore spatio-temporal PM2. 5 features in northern Taiwan using machine learning techniques
  870. Coarse-scale PDEs from fine-scale observations via machine learning
  871. Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring
  872. Benchmark AFLOW data sets for machine learning
  873. Stochastic assessment of aerodynamics within offshore wind farms based on machine-learning
  874. Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete
  875. A machine learning approach to customer needs analysis for product ecosystems
  876. Privacy preserving distributed machine learning with federated learning
  877. A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data
  878. Smart approach for real-time gender prediction of European school’s principal using machine learning
  879. A Meta-Analysis of Machine Learning-Based Science Assessments: Factors Impacting Machine-Human Score Agreements
  880. Prediction of seasonal urban thermal field variance index using machine learning algorithms in Cumilla, Bangladesh
  881. Iktishaf: A big data road-traffic event detection tool using Twitter and spark machine learning
  882. Autotuning of Double-Dot Devices In Situ with Machine Learning
  883. Machine learning-enabled LOS/NLOS identification for MIMO systems in dynamic environments
  884. Analysis of machine learning-based assessment for elbow spasticity using inertial sensors
  885. Ethical limitations of algorithmic fairness solutions in health care machine learning
  886. Mapping soil pollution by using drone image recognition and machine learning at an arsenic-contaminated agricultural field
  887. Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3
  888. Forecasting risk gene discovery in autism with machine learning and genome-scale data
  889. The battle for ethical AI at the world’s biggest machine-learning conference.
  890. Automatic classification of single-molecule charge transport data with an unsupervised machine-learning algorithm
  891. Healthcare pathway discovery and probabilistic machine learning
  892. Exploring the long-term changes in the Madden Julian Oscillation using machine learning
  893. Hybrid machine learning model of extreme learning machine radial basis function for breast cancer detection and diagnosis; a multilayer fuzzy expert system
  894. Combining Machine Learning Potential and Structure Prediction for Accelerated Materials Design and Discovery
  895. Causal inference and counterfactual prediction in machine learning for actionable healthcare
  896. Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources
  897. Accuracy of different machine learning algorithms and added-value of predicting aggregated-level energy performance of commercial buildings
  898. Constraining the primordial black hole scenario with Bayesian inference and machine learning: the GWTC-2 gravitational wave catalog
  899. Analyzing data granularity levels for insider threat detection using machine learning
  900. Learning Machine Learning with Personal Data Helps Stakeholders Ground Advocacy Arguments in Model Mechanics
  901. Machine learning-based optimal design of a phase change material integrated renewable system with on-site PV, radiative cooling and hybrid ventilations—study of …
  902. Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls
  903. Predicting postmortem interval based on microbial community sequences and machine learning algorithms
  904. Making the right business decision: Forecasting the binary NPD strategy in Chinese automotive industry with machine learning methods
  905. fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning
  906. Objectively determining states of the solar wind using machine learning
  907. An ultra-compact particle size analyser using a CMOS image sensor and machine learning
  908. Grounded reality meets machine learning: A deep-narrative analysis framework for energy policy research
  909. Machine learning for predicting epileptic seizures using eeg signals: A review
  910. Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes
  911. Adversarial machine learning applied to intrusion and malware scenarios: a systematic review
  912. Waste management system using iot-based machine learning in university
  913. Super ensemble learning for daily streamflow forecasting: Large-scale demonstration and comparison with multiple machine learning algorithms
  914. Reduced‐dimensional Gaussian process machine learning for groundwater allocation planning using swarm theory
  915. Machine learning enhances prediction of illness course: A longitudinal study in eating disorders
  916. Predicting doped Fe-based superconductor critical temperature from structural and topological parameters using machine learning
  917. Machine learning based prediction model for thermal conductivity of concrete
  918. Identifying novel factors associated with COVID-19 transmission and fatality using the machine learning approach
  919. Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles
  920. Pressure drops of fresh cemented paste backfills through coupled test loop experiments and machine learning techniques
  921. An Effective Optimization Method for Machine Learning Based on ADAM
  922. Multiomics and Machine Learning Accurately Predict Clinical Response to Adalimumab and Etanercept Therapy in Patients With Rheumatoid Arthritis
  923. Holistic Prediction of the pKa in Diverse Solvents Based on a Machine‐Learning Approach
  924. Machine learning of single-cell transcriptome highly identifies mRNA signature by comparing F-Score selection with DGE analysis
  925. Machine learning-based gully erosion susceptibility mapping: A case study of Eastern India
  926. Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component …
  927. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer
  928. Developing intelligent algorithm as a machine learning overview over the big data generated by Euler–Euler method to simulate bubble column reactor …
  929. Exergy-based optimisation of a phase change materials integrated hybrid renewable system for active cooling applications using supervised machine learning …
  930. Application of machine learning to accidents detection at directional drilling
  931. River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
  932. Exploring impact of age and gender on sentiment analysis using machine learning
  933. Supervised machine learning for source allocation of per-and polyfluoroalkyl substances (PFAS) in environmental samples
  934. Machine learning applied to electrified vehicle battery state of charge and state of health estimation: State-of-the-art
  935. Learning analytics on structured and unstructured heterogeneous data sources: Perspectives from procrastination, help-seeking, and Machine-Learning defined …
  936. Machine learning model for fast prediction of the natural frequencies of protein molecules
  937. A machine learning approach to estimate hip and knee joint loading using a mobile phone-embedded IMU
  938. Early lung cancer diagnostic biomarker discovery by machine learning methods
  939. Shop floor simulation optimization using machine learning to improve parallel metaheuristics
  940. A rigorous and robust quantum speed-up in supervised machine learning
  941. Lifelong machine learning with deep streaming linear discriminant analysis
  942. Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and gis techniques
  943. Optimizing machine learning workloads in collaborative environments
  944. Multivariate features extraction and effective decision making using machine learning approaches
  945. Assessment of vector-host-pathogen relationships using data mining and machine learning
  946. Analytical gradients for molecular-orbital-based machine learning
  947. Machine learning based diagnosis of diseases using the unfolded EEG spectra: towards an intelligent software sensor
  948. Improving the background of gravitational-wave searches for core collapse supernovae: A machine learning approach
  949. … of SOx–NOx emission from a coal-fired CFB power plant with machine learning: Plant data learned by deep neural network and least square support vector machine
  950. Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in …
  951. A machine learning model reveals older age and delayed hospitalization as predictors of mortality in patients with COVID-19
  952. Machine learning holography for measuring 3D particle distribution
  953. Detecting Antisocial Personality Disorder Using a Novel Machine Learning Algorithm Based on Electroencephalographic Data.
  954. Comparison of machine learning methods for citrus greening detection on UAV multispectral images
  955. Finding distinctions between oral cancer and periodontitis using saliva metabolites and machine learning
  956. A proof of concept study for machine learning application to stenosis detection
  957. Predicting cognitive behavioral therapy outcome in the outpatient sector based on clinical routine data: a machine learning approach
  958. DRFS: detecting risk factor of stroke disease from social media using machine learning techniques
  959. Integration of shared-pathogen networks and machine learning reveals the key aspects of zoonoses and predicts mammalian reservoirs
  960. Emotion detection in roman urdu text using machine learning
  961. Enhancing a machine learning binarization framework by perturbation operators: analysis on the multidimensional knapsack problem
  962. Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing
  963. Machine learning dielectric screening for the simulation of excited state properties of molecules and materials
  964. Comparison of different machine learning methods for debris flow susceptibility mapping: A case study in the Sichuan Province, China
  965. Topology-Based Machine Learning Strategy for Cluster Structure Prediction
  966. Classifying post-traumatic stress disorder using the magnetoencephalographic connectome and machine learning
  967. Phenomapping of patients with heart failure with preserved ejection fraction using machine learning‐based unsupervised cluster analysis
  968. Long-term rainfall prediction using atmospheric synoptic patterns in semi-arid climates with statistical and machine learning methods
  969. Mapping PTSD symptoms to brain networks: a machine learning study
  970. Improving urban water security through pipe-break prediction models: Machine learning or survival analysis
  971. CRISPRpred (SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning
  972. RNAPosers: Machine Learning Classifiers for Ribonucleic Acid–Ligand Poses
  973. Machine Learning Enables Rapid Screening of Reactive Fly Ashes Based on Their Network Topology
  974. Land suitability assessment and agricultural production sustainability using machine learning models
  975. Machine-learning based error prediction approach for coarse-grid Computational Fluid Dynamics (CG-CFD)
  976. Improving unmanned aerial vehicle remote sensing-based rice nitrogen nutrition index prediction with machine learning
  977. A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach
  978. Second-order optimization for non-convex machine learning: An empirical study
  979. Association of Clinician Diagnostic Performance With Machine Learning–Based Decision Support Systems: A Systematic Review
  980. Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status
  981. Predicting lncRNA-protein interactions by machine learning methods: a review
  982. Detection of COVID-19 infection from routine blood exams with machine learning: a feasibility study
  983. Artificial intelligence and machine learning in cardiovascular health care
  984. A Review of Android Malware Detection Approaches Based on Machine Learning
  985. Double-step machine learning based procedure for HFOs detection and classification
  986. Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study
  987. Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning Approaches.
  988. Detecting money laundering transactions with machine learning
  989. Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness
  990. Study on evolution methods for the optimization of machine learning models based on FT-NIR spectroscopy
  991. Secure and resilient demand side management engine using machine learning for IoT-enabled smart grid
  992. On testing machine learning programs
  993. Permeability prediction and diagenesis in tight carbonates using machine learning techniques
  994. Applying machine learning techniques for caching in edge networks: A comprehensive survey
  995. Multifidelity Statistical Machine Learning for Molecular Crystal Structure Prediction
  996. A combined strategy of feature selection and machine learning to identify predictors of prediabetes
  997. An on-the-fly approach to construct generalized energy-based fragmentation machine learning force fields of complex systems

Research Topics for Computer Science, Software Engineering and IT students of PhD and MS for Research Thesis

 

  1. Network Security Research Topics for MS PhD
  2. Semantic Web Research Topics for MS PhD
  3. Data Mining Research Topics for MS PhD
  4. Cloud Computing Research Topics for MS PhD
  5. Software Fault Tolerance Research Topics for MS PhD
  6. Software Formal Methods Research Topics for MS PhD
  7. Software Testing Research Topics for MS PhD
  8. Web Ontology Research Topics for MS PhD
  9. Artificial Intelligence and Robotics Research Topics for MS PhD
  10. Network Security Research Topics for MS PhD
  11. Information Systems Research Topics
  12. Information Retrieval Research Topics
  13. Machine Learning Research Topics
  14. Computational statistics Research Topics
  15. Computer Architecture Research Topics
  16. Software Formal Verification Research Topics

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Prof. Fazal Rehman Shamil