Research Area/ Research Interest: statistical signal processing in Electrical Engineering
Research Paper Topics for: Masters and PhD Thesis and publication
- Unsupervised detection of rotary machine imbalance based on statistical signal properties
- Signal recovery from a few linear measurements of its high-order spectra
- Interpretation of Lung Sounds Using Spectrogram-Based Statistical Features
- Statistical Treatment, Fourier and Modal Decomposition
- Statistical subspace-based damage detection with estimated reference
- Blade damage monitoring method base on frequency domain statistical index of shaft’s random vibration
- Maximum Likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution
- Successive multivariate variational mode decomposition based on instantaneous linear mixing model
- Efficient Methods for Signal Processing Using Charlier Moments and Artificial Bee Colony Algorithm
- Railway Track Recognition Based on Radar Cross-Section Statistical Characterization Using mmWave Radar
- Power adaptation for vector parameter estimation according to Fisher information based optimality criteria
- Real-time filtering adaptive algorithms for non-stationary noise in electrocardiograms
- Ultrasonic guided wave imaging with deep learning: Applications in corrosion mapping
- Decision-making algorithms for learning and adaptation with application to COVID-19 data
- Structural anomaly detection based on probabilistic distance measures of transmissibility function and statistical threshold selection scheme
- Statistical Validation of Cardiovascular Digital Biomarkers Towards Monitoring the Cardiac Risk in COPD: A Lyfas Case Study
- A nonlinear signal processing framework for rapid identification and diagnosis of structural freeplay
- Statistical Analysis of Wavelet Coefficients of Sural Nerve Conduction Signal in Diabetic and Non-Diabetic Patients
- Practical framework of Gini index in the application of machinery fault feature extraction
- Statistical Learning of Passive Infrared (PIR) Sensor Data for Human Monitoring Applications
- Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners
- Distributed Filtering for Sensor Networks with Fading Measurements and Compensations for Transmission Delays and Losses
- On the analysis of the tristable vibration isolation system with delayed feedback control under parametric excitation
- An incipient fault diagnosis methodology using local Mahalanobis distance: Detection process based on empirical probability density estimation
- Neuromuscular disorders detection through time-frequency analysis and classification of multi-muscular EMG signals using Hilbert-Huang transform
- A Gaussian mixture regression model based adaptive filter for non-Gaussian noise without a priori statistic
- DETECTION OF MICROCALCIFICATION CLUSTERS USING STATISTICAL PARAMETERS AND DYADIC CONTOURLET TRANSFORM BASED PRECISION …
- Double Gaussian mixture model-based terahertz wave dispersion compensation method using convex optimization technique
- A generalized stochastic resonance based instantaneous frequency estimation method under low SNR
- Highly sensitive methane detection based on light-induced thermoelastic spectroscopy with a 2.33 µm diode laser and adaptive Savitzky-Golay filtering
- A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis
- Impact of Statistical Intelligent Analysis on Corona Virus Disease
- Automated fatigue damage detection and classification technique for composite structures using Lamb waves and deep autoencoder
- Description of Movement Sensor Dataset for Dog Behavior Classification
- Detection of objects in the images: From likelihood relationships towards scalable and efficient neural networks
- Distributed machine learning for multiuser mobile edge computing systems
- Personalized fusion of ultrasound and electromyography-derived neuromuscular features increases prediction accuracy of ankle moment during plantarflexion
- A novel sleep staging network based on multi-scale dual attention
- An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour
- Fisher’s discriminant ratio based health indicator for locating informative frequency bands for machine performance degradation assessment
- Novel architecture with selected feature vector for effective classification of mitotic and non-mitotic cells in breast cancer histology images
- Statistical and Continuous Wavelet Transformation-Based Analysis of Combustion Instabilities in a Biodiesel-Fueled Compression Ignition Engine
- Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
- EOG biofeedback protocol based on selecting distinctive features to treat or reduce ADHD symptoms
- Design and Development of High-Performance Imaging Lidars for Extreme Radiation Environments of Europa
- Cognitive assistant DeepNet model for detection of cardiac arrhythmia
- Multi-rate strong tracking square-root cubature Kalman filter for MEMS-INS/GPS/polarization compass integrated navigation system
- Time series based approach for detecting Passive Intermodulation occurrences in cellular network
- Overview of stochastic model updating in aerospace application under uncertainty treatment
- An efficient AR modelling-based electrocardiogram signal analysis for health informatics
- Endoscope image mosaic based on pyramid ORB
- Automated detection of COVID-19 cough
- Identification of breast abnormality from thermograms based on fractal geometry features
- Digital clone testing platform for the assessment of SHM systems under uncertainty
- Adaptive nonlinear ANC system based on time-domain signal reconstruction technology
- A novel load-dependent sensor placement method for model updating based on time-dependent reliability optimization considering multi-source uncertainties
- 2-level hierarchical depression recognition method based on task-stimulated and integrated speech features
- Identification of chicken egg fertility using SVM classifier based on first-order statistical feature extraction
- Project Achoo: a practical model and application for COVID-19 detection from recordings of breath, voice, and cough
- A hybrid deep transfer learning-based approach for Parkinson’s disease classification in surface electromyography signals
- Combustion phase identification for closed-loop combustion control by resonance excitation in marine diesel engines
- Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
- PIANO: A fast parallel iterative algorithm for multinomial and sparse multinomial logistic regression
- PATRON: Exploring respiratory signal derived from non-contact face videos for face anti-spoofing
- Block-wise recursive apes aided with frequency-squeezing postprocessing and the application in online analysis of vibration monitoring signals
- A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition
- An ensemble classifier for vibration-based quality monitoring
- Estimating brain periodic sources activities in steady-state visual evoked potential using local fourier independent component analysis
- Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering
- Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors
- Active acoustic leak detection and localization in a plastic pipe using time delay estimation
- Video coding optimization in AVS2
- Dynamic divergence of circular cylindrical shells conveying airflow
- Online condition monitoring of floating wind turbines drivetrain by means of digital twin
- Nonparametric Bayesian stochastic model updating with hybrid uncertainties
- Gloss: Tensor-based anomaly detection in spatiotemporal urban traffic data
- Modern privacy risks and protection strategies in data analytics
- A Wavelet-Based Segmentation Technique for Medical Images
- Recursive variational mode extraction and its application in rolling bearing fault diagnosis
- Contact acoustic nonlinearity effect on the vibro-acoustic modulation of delaminated composite structures
- Computer-aided detection of breast cancer on the Wisconsin dataset: An artificial neural networks approach
- Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution
- On a coupled impulsive fractional integrodifferential system with Hadamard derivatives
- Explainable 1-D convolutional neural network for damage detection using Lamb wave
- Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence
- A Scaled Spherical Simplex Filter (S3F) with a decreased n+ 2 sigma points set size and equivalent 2n+ 1 Unscented Kalman Filter (UKF) accuracy
- TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese
- A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images
- A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
- Real-time model calibration with deep reinforcement learning
- Development of crack induced impulse-based condition indicators for early tooth crack severity assessment
- An efficient and robust sampler for Bayesian inference: Transitional Ensemble Markov Chain Monte Carlo
- Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks
- Simple statistical regularities presented during sleep are detected but not retained
- Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics
- Polyphase uncertainty analysis through virtual modelling technique
- An adaptive order-band energy ratio method for the fault diagnosis of planetary gearboxes
- Transfer-learning guided Bayesian model updating for damage identification considering modeling uncertainty
- Data-driven dynamic interpolation and approximation
- An overview on integrated localization and communication towards 6G
- Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration
- Multi-condition identification in milling Ti-6Al-4V thin-walled parts based on sensor fusion
- Detection of accelerated tool wear in turning
- Identification and uncertainty quantification of structural flexibility for reliability analysis
- A statistical modeling and optimization for Cr (VI) adsorption from aqueous media via Teff straw-based activated carbon: isotherm, kinetics, and …
- Hairpin RNA genetic algorithm based ANFIS for modeling overhead cranes
- Removal of transfer function effects from transmission error measurements using cepstrum-based operational modal analysis
- Learning from revisions: an algorithm to detect errors in banks’ balance sheet statistical reporting
- Reliability evaluation method of anti-loosening performance of bolted joints
- A statistical method for flow pattern and efficiency prediction using pressure drop in a two-stage gas liquid cylindrical cyclone
- Generation mechanism of the 26 s and 28 s tremors in the Gulf of Guinea from statistical analysis of magnitudes and event intervals
- Discrimination of vascular aging using the arterial pulse spectrum and machine-learning analysis
- Investigation on multiple-frequency synchronization experiment of vibration system with dual-rotor actuation
- Deep learning based decoding for polar codes in Markov Gaussian memory impulse noise channels
- Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels
- Low-speed cameras system for 3D-DIC vibration measurements in the kHz range
- Multivariate Statistical Machine Learning Methods for Genomic Prediction
- Design of new resonant haloscopes in the search for the dark matter axion: A review of the first steps in the RADES collaboration
- Implementation of biohybrid olfactory bulb on a high-density CMOS-chip to reveal large-scale spatiotemporal circuit information
- An improved partial similitude method for dynamic characteristic of rotor systems based on Levenberg–Marquardt method
- Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA)
- Histogram as features for fault detection of multi point cutting tool–A data driven approach
- Bayesian model updating and class selection of a wing-engine structure with nonlinear connections using nonlinear normal modes
- Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis
- On the stochastic bit–rock interaction disturbances and its effects on the performance of two commercial control strategies used in drill strings
- Coherent false seizure prediction in epilepsy, coincidence or providence?
- A review of speaker diarization: Recent advances with deep learning
- VPNET: Variable Projection Networks
- Fast computation of inverse transient analysis for pipeline condition assessment via surrogate modeling with sparse sampling strategy
- Value of information from vibration-based structural health monitoring extracted via Bayesian model updating
- Principles of odor coding in vertebrates and artificial chemosensory systems
- A Bayesian methodology for localising acoustic emission sources in complex structures
- Evaluation of the characterization of acoustic emission of brittle rocks from the experiment to numerical simulation
- Estimation of small failure probability using generalized subset simulation
- Structural Damage Detection in Civil Engineering with Machine Learning: Current State of the Art
- New artificial neural network design for Chua chaotic system prediction using FPGA hardware co-simulation.
- A robust and efficient fingerprint minutiae extraction in post-processing algorithm
- PACDNN: A phase-aware composite deep neural network for speech enhancement
- Cascaded composite turbulence and misalignment: Statistical characterization and applications to reconfigurable intelligent surface-empowered wireless systems
- Identification and semi-active control of structures with abrupt stiffness degradations
- Bayesian inversion for imprecise probabilistic models using a novel entropy-based uncertainty quantification metric
- Surface acoustic wave attenuation in polycrystals: Numerical modeling using a statistical digital twin of an actual sample
- Face mask recognition from audio: The MASC database and an overview on the mask challenge
- From inference to design: A comprehensive framework for uncertainty quantification in engineering with limited information
- Monitoring Plant Diversity to Support Agri-Environmental Schemes: Evaluating Statistical Models Informed by Satellite and Local Factors in Southern European …
- A hybrid LSTM-KLD approach to condition monitoring of operational wind turbines
- Machine learning based liver disease diagnosis: A systematic review
- Numerical and experimental simulation of gas-liquid two-phase flow in 90-degree elbow
- Tacholess skidding evaluation and fault feature enhancement base on a two-step speed estimation method for rolling bearings
- Compartmentalized dynamics within a common multi-area mesoscale manifold represent a repertoire of human hand movements
- Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization
- Non-stationary response power spectrum determination of linear/non-linear systems endowed with fractional derivative elements via harmonic wavelet
- Line spectrum representation for vector processes with application to frequency estimation
- Structural health monitoring using wireless smart sensor network–An overview
- Broad learning robust semi-active structural control: A nonparametric approach
- Uncertainty and multi-criteria global sensitivity analysis of structural systems using acceleration algorithm and sparse polynomial chaos expansion
- A novel interval model updating framework based on correlation propagation and matrix-similarity method
- Remote speech analysis in the evaluation of hospitalized patients with acute decompensated heart failure
- Modular Welch Bounds with Applications
- Hydrogen Intensity and Real-Time Analysis Experiment: 256-element array status and overview
- Earth’s accretion inferred from iron isotopic anomalies of supernova nuclear statistical equilibrium origin
- The National Microbiome Data Collaborative Data Portal: an integrated multi-omics microbiome data resource
- A stochastic analysis method of transient responses using harmonic wavelets, part 2: Time-dependent vehicle-bridge systems
- Farmers’ perceptions and spatial statistical modeling of most systematic LULC transitions: Drivers and livelihood implications in Awash Basin, Ethiopia
- Efficient reliability analysis based on deep learning-enhanced surrogate modelling and probability density evolution method
- Real-time steganalysis for streaming media based on multi-channel convolutional sliding windows
- Identification and parameter sensitivity analyses of time-delay with single-fractional-pole systems under actuator rate limit effect
- Impact force reconstruction and localization using nonconvex overlapping group sparsity
- Near-infrared methane sensor with neural network filtering
- Frequency response function estimation techniques and the corresponding coherence functions: A review and update
- Reward learning and statistical learning independently influence attentional priority of salient distractors in visual search
- A literature review of (sparse) exponential family PCA
- High-rate structural health monitoring and prognostics: an overview
- Transformer power differential protection using real-time HIL test-based implementation of second-order transient-extracting transform
- Dynamics analysis and wear prediction of rigid-flexible coupling deployable solar array system with clearance joints considering solid lubrication
- An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery
- Full life-cycle monitoring and earlier warning for bolt joint loosening using modified vibro-acoustic modulation
- Anomaly detection in wind turbine SCADA data for power curve cleaning
- Structural synthesis considering mixed discrete–continuous design variables: A Bayesian framework
- Sub-sampled imaging for stem: Maximising image speed, resolution and precision through reconstruction parameter refinement
- GCG: Graph Convolutional network and gated recurrent unit method for high-speed train axle temperature forecasting
- QIRHSI: novel quantum image representation based on HSI color space model
- A Structured Approach to Machine Learning Condition Monitoring
- Novel dual-channel long short-term memory compressed capsule networks for emotion recognition
- A deep insight into measuring face image utility with general and face-specific image quality metrics
- Detection of alteration zones using the Dirichlet process stick breaking model-based clustering algorithm to Hyperion data: The case study of Kuh-Panj porphyry …
- Robust multi-feature collective non-negative matrix factorization for ECG biometrics
- Indexed bibliography of genetic algorithms in physical sciences
- Bayesian probabilistic assessment of occupant comfort of high-rise structures based on structural health monitoring data
- Big data analysis of the internet of things in the digital twins of smart city based on deep learning
- Predicting clinical scores for Alzheimer’s disease based on joint and deep learning
- Neutralization of temperature effects in damage diagnosis of MDOF systems by combinations of autoencoders and particle filters
- Non-Semantic Evaluation of Image Forensics Tools: Methodology and Database
- Electromechanical properties identification for groups of piezoelectric energy harvester based on Bayesian inference
- 1-Dimensional polynomial neural networks for audio signal related problems
- Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks
- Design and characterization of a three-dimensional anisotropic additively manufactured pentamode material
- Neutrino interaction measurements with the MicroBooNE and ArgoNeuT liquid argon time projection chambers
- … effluents by sequential adsorption and reduction using a novel cysteine-doped PANi@ faujasite composite: Experimental study supported by advanced statistical …
- No-reference image quality assessment via transformers, relative ranking, and self-consistency
- Inferring dark matter substructure with astrometric lensing beyond the power spectrum
- Aging-related cerebral microvascular changes visualized using Ultrasound Localization Microscopy in the living mouse
- Deep learning based virtual point tracking for real-time target-less dynamic displacement measurement in railway applications
- A clock stabilization system for CHIME/FRB Outriggers
- Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors
- A new current sensor incipient fault diagnosis method for converters in wind energy conversion systems
- Harmonic-Balance-Based parameter estimation of nonlinear structures in the presence of Multi-Harmonic response and force
- Research on multiple-image encryption mechanism based on Radon transform and ghost imaging
- Experimental Design and Statistical Analysis for Toxicologic Pathologists
- Dynamic mode decomposition and its variants
- Graph signal denoising using t-shrinkage priors
- A mathematical theory of the computational resolution limit in one dimension
- Image restoration by deep projected GSURE
- An overview of deep learning methods used in vibration-based damage detection in civil engineering
- Hybrid diagnostics systems for power generators faults: systems design principle and shaft run-out sensors
- Wasserstein statistics in one-dimensional location scale models
- Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition
- A review of fatigue damage detection and measurement techniques
- Direct photoacoustic measurement of silicon nanoparticle degradation promoted by a polymer coating
- Comparisons of Predicted and Measured Aerodynamic Characteristics of the DLR LK6E2 Missile Airframe (Scale Resolving)
- One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery
- Artificial bee colony-based combination approach to forecasting agricultural commodity prices
- Chemical profiling and quality evaluation of Pogostemon cablin Benth by liquid chromatography tandem mass spectrometry combined with multivariate statistical …
- Multi-step wind speed forecasting and Hurst analysis using novel hybrid secondary decomposition approach
- Short-term wind speed forecasting based on long short-term memory and improved BP neural network
- Multi-perspective social recommendation method with graph representation learning
- Mineral prospecting from biogeochemical and geological information using hyperspectral remote sensing-Feasibility and challenges
- Advances in Thermal Image Analysis for the Detection of Pregnancy in Horses Using Infrared Thermography
- Novelty: Searching for, seeing, and sustaining it
- Classifying students based on cognitive state in flipped learning pedagogy
- Gas discrimination based on enhanced gas-species related information obtained by a single gas sensor with novel temperature modulation
- Comparison of Statistical and Machine Learning Methods for Improving Demand Forecasting of Spare Parts in Simulators and Weapon Ranges
- Gas identification with drift counteraction for electronic noses using augmented convolutional neural network
- Towards sound based testing of COVID-19—Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
- A novel probabilistic regression model for electrical peak demand estimate of commercial and manufacturing buildings
- Phase transition detection in liquid crystal analysis by mathematical morphology
- Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight
- Machine learning to empower electrohydrodynamic processing
- Metrics to relate COVID-19 wastewater data to clinical testing dynamics
- An automatic image processing algorithm based on crack pixel density for pavement crack detection and classification
- Design and synthesis of chromophores with enhanced electro-optic activities in both bulk and plasmonic–organic hybrid devices
- Sentiment Analysis of Amazon Product Reviews Using Hybrid Rule-based Approach
- Graph kernels based on linear patterns: Theoretical and experimental comparisons
- Mechanical behaviour optimization of saw dust ash and quarry dust concrete using adaptive neuro-fuzzy inference system
- Building electro-optical systems: making it all work
- Mean estimation over numeric data with personalized local differential privacy
- Multivariate rescaled range analysis
- Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds
- A modified exchange algorithm for distributional robust optimization and applications in risk management
- Genetic‐based multi‐objective optimization of alkylation process by a hybrid model of statistical and artificial intelligence approaches
- Mars Entry, Descent, and Landing Instrumentation 2 Trajectory, Aerodynamics, and Atmosphere Reconstruction
- Sparse regression for large data sets with outliers
- Uncertainty-based analysis of random load signal and fatigue life for mechanical structures
- Mini-batch optimization enables training of ODE models on large-scale datasets
- Towards a unified assessment framework of speech pseudonymisation
- A novel hybrid model based on nonlinear weighted combination for short-term wind power forecasting
- A particle-tracking image pyrometer for characterizing ignition of pulverized coal particles
- Non-parametric treatment time-lag effect estimation
- Chitin from seafood waste: particle swarm optimization and neural network study for the improved chitinase production
- Role of big data in Internet of Things networks
- Do cryptocurrency exchanges fake trading volumes? An empirical analysis of wash trading based on data mining
- An explanation of the commuting operator” miracle” in time and band limiting
- Auxiliary function-based algorithm for blind extraction of a moving speaker
- You can’t “count” how many items people remember in working memory: The importance of signal detection-based measures for understanding change detection …
- Neurophysiological Correlates of Post-Operative Cognitive Disorders
- A novel hybrid approach based on variational heteroscedastic Gaussian process regression for multi-step ahead wind speed forecasting
- Positioning precision analysis of passive phased array radar localization for construction safety monitoring in a non-line-of-sight environment via heatmap
- The strange role of brain lesion size in cognitive neuropsychology
- An introduction to deep learning in natural language processing: models, techniques, and tools
- A neural signature of regularity in sound is reduced in older adults
- Sentic computing for aspect-based opinion summarization using multi-head attention with feature pooled pointer generator network
- A generalized information criterion for high-dimensional PCA rank selection
- Critical behavior at the onset of synchronization in a neuronal model
- A novel event-related fMRI supervoxels-based representation and its application to schizophrenia diagnosis
- A novel loss function of deep learning in wind speed forecasting
- Adaptive iron-based magnetic nanomaterials of high performance for biomedical applications
- Big data oriented smart tool condition monitoring system
- Statistical Analysis of the Influence of Ballast Fouling on Penetrometer and Geoendoscope Data
- Trends and future perspective challenges in big data
- Multi-representation knowledge distillation for audio classification
- Spatial and temporal distribution characteristics of haze and pollution particles in China based on spatial statistics
- Data classification model for COVID-19 pandemic
- An efficient, font independent word and character segmentation algorithm for printed Arabic text
- Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels
- Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for …
- Arabic speech recognition by end-to-end, modular systems and human
- Defocus blur detection using novel local directional mean patterns (LDMP) and segmentation via KNN matting
- Predictive modelling for contact angle of liquid metals and oxide ceramics by comparing Gaussian process regression with other machine learning methods
- An Algorithm to Calibrate and Correct the Response to Unpolarized Radiation of the X-Ray Polarimeter Onboard IXPE
- Review on deep learning applications in frequency analysis and control of modern power system
- Review on deep learning techniques for marine object recognition: Architectures and algorithms
- Metabolomics workflow for quality control of differently-processed pre-cooked chicken fillets
- A metabolomics approach based on 1H NMR fingerprinting and chemometrics for quality control and geographical discrimination of black pepper
- HUNTER: AI based holistic resource management for sustainable cloud computing
- Tabular data: Deep learning is not all you need
- Multimodal plant recognition through hybrid feature fusion technique using imaging and non-imaging hyper-spectral data
- SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network
- Obfuscated Malware Detection Using Deep Generative Model based on Global/Local Features
- Convolutional neural network based on attention mechanism and Bi-LSTM for bearing remaining life prediction
