List of Research Topics and Ideas of Stochastic Networks for MS and Ph.D. Thesis.

- Learning and Information in Stochastic Networks and Queues
- An asynchronous distributed gradient algorithm for economic dispatch over stochastic networks
- Disturbance-resilient Distributed Resource Allocation over Stochastic Networks using Uncoordinated Stepsizes
- A Flexible Distributed Stochastic Optimization Framework for Concurrent Tasks in Processing Networks
- Secure synchronization of stochastic complex networks subject to deception attack with nonidentical nodes and internal disturbance
- Minimum-Time and Minimum-Triggering Control for the Observability of Stochastic Boolean Networks
- Stochastic mutual information gradient estimation for dimensionality reduction networks
- Finite-time synchronization of multi-coupling stochastic fuzzy neural networks with mixed delays via feedback control
- Evaluating stochastic seeding strategies in networks
- Diffusive transport on networks with stochastic resetting to multiple nodes
- SIT: Stochastic Input Transformation to Defend Against Adversarial Attacks on Deep Neural Networks
- Numerical Modeling of Business Processes Using the Apparatus of GERT Networks
- A secure multi-user privacy technique for wireless IoT networks using stochastic privacy optimization
- Synchronization of multiplex networks with stochastic perturbations via pinning adaptive control
- Recurrent Neural Networks for Stochastic Control Problems with Delay
- Stabilisation of multi-weights stochastic complex networks with time-varying delay driven by G-Brownian motion via aperiodically intermittent adaptive control
- Deep neural networks algorithms for stochastic control problems on finite horizon: numerical applications
- Hierarchical-Bayesian-Based Sparse Stochastic Configuration Networks for Construction of Prediction Intervals
- Stochastic Dividers for Low Latency Neural Networks
- Stochastic vs. Deterministic Modeling for the Spread of COVID-19 in Small Networks
- Output Tracking Control via Neural Networks for High-Order Stochastic Nonlinear Systems with Dynamic Uncertainties
- Transients generate memory and break hyperbolicity in stochastic enzymatic networks
- Stability analysis of stochastic fractional-order competitive neural networks with leakage delay [J]
- Modeling of Resource Allocation Mechanisms in Distributed Computing Systems using Petri Nets and Stochastic Activity Networks (SAN): a Review and Reo-based …
- Deep neural networks algorithms for stochastic control problems on finite horizon: convergence analysis
- Stochastic Latency Guarantee in Wireless Powered Virtualized Sensor Networks
- Stochastic collision model approach to transport phenomena in quantum networks
- Distributed stochastic optimization in networks with low informational exchange
- Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality
- Exact maximal reduction of stochastic reaction networks by species lumping
- Stochastic distributed optimization of shapeable energy resources in low voltage distribution networks under limited communications
- State and parameter estimation from exact partial state observation in stochastic reaction networks
- Distributed Consensus Filtering of 3D Stochastic Nonlinear Parabolic Systems Over Mobile Sensor Networks
- Semi-Supervised Domain Generalization with Stochastic StyleMatch
- Mean-Square Stochastic Stability of Delayed Hybrid Stochastic Inertial Neural Networks
- Existence-uniqueness and stability of the mild periodic solutions to a class of delayed stochastic partial differential equations and its applications
- Stochastic Model of a Sensor Node
- Stochastic Spintronic Neuron with Application to Image Binarization
- Adaptive control using stochastic approach for unknown but bounded disturbances and its application in balancing control
- Stochastic Modeling for Computer Networks Tra c
- Efficient Calculation of Adversarial Examples for Bayesian Neural Networks
- Collective aggregation of a linearly coupled stochastic Cucker–Smale ensemble on asymmetric networks
- Hybrid-Triggered Synchronization of Delayed Complex Dynamical Networks Subject to Stochastic Cyber-Attacks
- Stochastic gradient descent with noise of machine learning type. Part II: Continuous time analysis
- ANALYTIC EVALUATION OF A GROUP-ORIENTED MULTICAST PROTOCOL USING STOCHASTIC ACTIVITY NETWORKS
- Stochastic Geometry Analysis of Wireless Backhaul Networks with Beamforming in Roadside Environments
- Optimal Randomness for Stochastic Configuration Network (SCN) with Heavy-Tailed Distributions
- Deep learning stochastic processes with QCD phase transition
- Assortative-constrained stochastic block models
- Online stochastic gradient descent on non-convex losses from high-dimensional inference
- A simheuristic algorithm for video streaming flows optimisation with QoS threshold modelled as a stochastic single-allocation p-hub median problem
- Stabilization of stochastic delayed systems: Event-triggered impulsive control
- Coalbed methane flow characteristics based on fractal geometry and stochastic rough fracture network
- Stochastic 3D rock reconstruction using GANs
- Design of stochastic numerical solver for the solution of singular three-point second-order boundary value problems
- A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis
- The Cross-Shareholding Network and Risk Contagion from Stochastic Shocks: An Investigation Based on China’s Market
- Correlation between external regulators governs the mean-noise relationship in stochastic gene expression
- The inverse variance–flatness relation in stochastic gradient descent is critical for finding flat minima
- Flexible criteria for assessing EV hosting capacity in stochastic load-flow simulations.
- Applications of generating functions to stochastic processes and to the complexity of the knapsack problem
- On l2–l8 output-feedback control scheduled by stochastic communication protocol for two-dimensional switched systems
- Recursive Equations of Stochastic Event Graphs
- Mean field analysis of deep neural networks
- Stability analysis of T–S fuzzy coupled oscillator systems influenced by stochastic disturbance
- Kalikow decomposition for counting processes with stochastic intensity
- Sequencing mixed-model assembly lines with risk-averse stochastic mixed-integer programming
- Command-Filter-Based Fixed-Time Bipartite Containment Control for a Class of Stochastic Multiagent Systems
- Optimizing communication networks: a layered control architecture
- Autapse-induced multiple inverse stochastic resonance in a neural system
- Traffic flows analysis in high-speed computer networks using time series
- A generalized net model of the stochastic gradient descent and dropout algorithm with intuitionistic fuzzy evaluations
- Synchronized stationary distribution for stochastic multi-links systems with Markov jump
- Stochastic Gradient-Push for Economic Dispatch on Time-Varying Digraphs
- Some New Findings on the Self-similarity Property in Communications Networks and on Statistical End-to-end Delay Guarantee1
- Accelerated Distributed Optimization over Digraphs with Stochastic Matrices
- Estimation of all-terminal network reliability using press forward GA with stochastic selection method
- Bipartite mixed membership stochastic blockmodel
- Stochastic approximation method using diagonal positive-definite matrices for convex optimization with fixed point constraints
- Correlations versus causality in Stochastic Long-range Forecasting as a Past Value Problem
- Hutch++: Optimal Stochastic Trace Estimation
- Linear-quadratic stochastic delayed control and deep learning resolution
- Deep neural network framework based on backward stochastic differential equations for pricing and hedging american options in high dimensions
- Comparison Properties of Stochastic Decision Free Petri Nets
- A review on generative Boltzmann networks applied to dynamic systems
- Delay compensation-based state estimation for time-varying complex networks with incomplete observations and dynamical bias
- Learning and meta-learning of stochastic advection–diffusion–reaction systems from sparse measurements
- On the basic reproduction number in semi-Markov switching networks
- Stochastic monotonicity approach for a non-Markovian priority retrial queue
- The relation between length of lockdown, numbers of infected people and deaths of Covid-19, and economic growth of countries: Lessons learned to cope with future …
- Distinguishing chaotic from stochastic dynamics via the complexity of ordinal patterns
- Exponential Stability and Stabilization of Stochastic Neural Network Systems via Switching and Impulsive Control
- On the eigenvector bias of fourier feature networks: From regression to solving multi-scale pdes with physics-informed neural networks
- Characterization of flow and transport in a fracture network at the EGS Collab field experiment through stochastic modeling of tracer recovery
- Event-Triggered Sliding Mode Control for Stochastic Markov Jump Systems
- Improving the Transient Times for Distributed Stochastic Gradient Methods
- A strategic oscillation simheuristic for the Time Capacitated Arc Routing Problem with stochastic demands
- Safety-Critical Control of Stochastic Systems using Stochastic Control Barrier Functions
- From small-gain theory to compositional construction of barrier certificates for large-scale stochastic systems
- Package routing problem with registered couriers and stochastic demand
- Topology identification of multi-weighted complex networks based on adaptive synchronization: A graph-theoretic approach
- Transport pathway identification in fractured aquifers: A stochastic event synchrony-based framework
- Stochastic Game Model of Data Clustering.
- Performance analysis of cooperative communications at road intersections using stochastic geometry tools
- Global asymptotic stability of fractional-order competitive neural networks with multiple time-varying-delay links
- Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data
- A resilience enhancement strategy for networked microgrids incorporating electricity and transport and utilizing a stochastic hierarchical control approach
- Coherence and Concentration in Tightly-Connected Networks
- Convergence properties of stochastic hypergradients
- Stochastic local search: a state-of-the-art review
- Patterns that persist: Heritable information in stochastic dynamics
- Compositional abstraction-based synthesis for continuous-time stochastic hybrid systems
- Bistability of somatic pattern memories: stochastic outcomes in bioelectric circuits underlying regeneration
- Standardized cargo network revenue management with dual channels under stochastic and time-dependent demand
- Stochastic Graphical Bandits with Adversarial Corruptions
- Adaptive Strategy for Resetting a Non-stationary Markov Chain during Learning via Joint Stochastic Approximation
- A Dynamic Variance-Based Triggering Scheme for Distributed Cooperative State Estimation over Wireless Sensor Networks
- Slice-to-voxel stochastic reconstructions on porous media with hybrid deep generative model
- Machine learning techniques in nested stochastic simulations for life insurance
- Delay feedback stabilisation of stochastic differential equations driven by G-Brownian motion
- A Unified Approach to Gated Reactions on Networks
- Evaluating the effect of electric vehicle parking lots in transmission-constrained AC unit commitment under a hybrid IGDT-stochastic approach
- Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market
- Deep Learning and Mean-Field Games: A Stochastic Optimal Control Perspective
- Polling Systems and Their Application to Telecommunication Networks
- Machine Learning Methods for Vehicle Positioning in Vehicular Ad-Hoc Networks
- Adaptive Group Testing on Networks with Community Structure
- Stochastic processes shape the biogeographic variations in core bacterial communities between aerial and belowground compartments of common bean
- Stochastic gene expression revisited
- Stochastic enzyme kinetics and the quasi-steady-state reductions: Application of the slow scale linear noise approximation\a la Fenichel
- An effective Progressive Hedging algorithm for the two-layers time window assignment vehicle routing problem in a stochastic environment
- Global Finite-Time and Fixed-Time Synchronization for Discontinuous Complex Dynamical Networks with Semi-Markovian Switching and Mixed Delays
- jl: A Julia Package for Stochastic Dual Dynamic Programming
- Cluster Synchronization on Derivative Coupled Lur’e Networks: Impulsive Pinning Strategy
- Multilevel Decomposition Framework for Reliability Assessment of Assembled Stochastic Linear Structural Systems
- Information-Theoretic Generalization Bounds for Stochastic Gradient Descent
- Gradient descent on neural networks typically occurs at the edge of stability
- Convergence of Stochastic Gradient Descent in Deep Neural Network
- Stochastic and deterministic dynamics of intrinsically irregular firing in cortical inhibitory interneurons
- Developing optimal energy management of energy hub in the presence of stochastic renewable energy resources
- Optimal Control and Numerical Methods for Hybrid Stochastic SIS Models
- A hybrid deep meta-ensemble networks with application in electric utility industry load forecasting
- Mitigating long transient time in deterministic systems by resetting
- Mean-square contractivity of stochastic ?-methods
- Polling Systems and Their Application to Telecommunication Networks. Mathematics 2021, 9, 117
- Temporal convolutional networks interval prediction model for wind speed forecasting
- Reliability-based Topology Optimization using Stochastic Gradients
- Two Server Dynamic Coverage Location Model Under Stochastic Travel Time
- Reflecting stochastic dynamics of active-passive crowds in a queueing theory model
- Stochastic Fluid Model with Jumps: The Bounded Model
- Real-Time Pricing Method Based on Lyapunov for Stochastic and Electric Power Demand in Smart Grid
- Improving split-step forward methods by ODE solver for stiff stochastic differential equations
- Leveraging Machine-Learning for D2D Communications in 5G/Beyond 5G Networks
- Effects of resilience-oriented design on distribution networks operation planning
- AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
- Clinical target volume segmentation for stomach cancer by stochastic width deep neural network
- A Survey of Multipath Load Balancing Based on Network Stochastic Model in MANET
- Dynamic event-triggered H8 state estimation for delayed complex networks with randomly occurring nonlinearities
- Shale digital core image generation based on generative adversarial networks
- A Rolling Horizon Approach for a Bilevel Stochastic Pricing Problem for Demand-Side Management
- Stochastic model predictive control for remanufacturing system management
- Regularisation of neural networks by enforcing lipschitz continuity
- Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms
- A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning
- Stochastic Road Side Unit Location Optimization for Information Propagation in the Internet of Vehicles
- Stochastic thermodynamics of a finite quantum system coupled to a heat bath
- A Stochastic Estimation Framework for Yearly Evolution of Worldwide Electricity Consumption
- Stochastic polyak step-size for sgd: An adaptive learning rate for fast convergence
- Solving parametric PDE problems with artificial neural networks
- Multimodal multi-pedestrian path prediction for autonomous cars
- Spatial distribution of the mean peak age of information in wireless networks
- Modeling and analysis of multi-class threshold-based queues with hysteresis using Stochastic Petri Nets
- B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data
- Control of Stochastic Quantum Dynamics with Differentiable Programming
- Momentum residual neural networks
- A hybrid robust-stochastic approach to evaluate the profit of a multi-energy retailer in tri-layer energy markets
- A stochastic model explains the periodicity phenomenon of influenza on network
- The effect of graph connectivity on metastability in a stochastic system of spiking neurons
- Incipient fault prediction based on generalised correntropy filtering for non-Gaussian stochastic systems
- Disentangling homophily, community structure and triadic closure in networks
- Stochastic Nicholson-type delay differential system
- Stochastic rounding and its probabilistic backward error analysis
- PhyGeoNet: physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain
- Constructing and analysing time-aggregated networks: The role of bootstrapping, permutation and simulation
- The stochastic evolution of a rumor spreading model with two distinct spread inhibiting and attitude adjusting mechanisms in a homogeneous social network
- Bottom-Up Generation of Peak Demand Scenarios in Water Distribution Networks
- Automatic verification of concurrent stochastic systems
- Allocation of Temporary Disaster-Response Facilities for Relief-Supplies Distribution: A Stochastic Optimization Approach for Afterdisaster Uncertainty
- Optimal regulation of energy network expansion when costs are stochastic
- Solving some stochastic differential equation using Dirichlet distributions
- Nonnegative periodicity on high-order proportional delayed cellular neural networks involving operator [J]
- Cross-correlated sine-Wiener bounded noises-induced logical stochastic resonance
- Auto Encoding Explanatory Examples with Stochastic Paths
- A novel stochastic programming approach for scheduling of batch processes with decision dependent time of uncertainty realization
- Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
- Optimal Stochastic Operation of Integrated Electric Power and Renewable Energy with Vehicle-Based Hydrogen Energy System
- Stochastic Parameter Identification Method for Driving Trajectory Simulation Processes Based on Mobile Edge Computing and Self-Organizing Feature …
- hp-VPINNs: Variational physics-informed neural networks with domain decomposition
- Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation
- Stochastic energy scheduling of multi-microgrid systems considering independence performance index and energy storage systems
- Localization of Scattering Objects Using Neural Networks
- Impulsive quasi-containment control in heterogeneous multiplex networks
- Gaussian Density Parametrization Flow: Particle and Stochastic Approaches
- Optimization of Well Operations in a Carbonate Reservoir Using Stochastic Simplex Approximate Gradient
- Coordinated operation of reconfigurable networks with dynamic line rating for optimal utilization of renewable generation
- eSPRESSO: a spatial self-organizing-map clustering method for single-cell transcriptomes of various tissue structures using graph-based networks
- Optimizing Age of Information in Random-Access Poisson Networks
- Symbolic Control for Stochastic Systems via Parity Games
- Spatial-spectral Terahertz Networks
- Towards Understanding Learning in Neural Networks with Linear Teachers
- A Study of Dynamic Traffic Assignment Using Statistical Method for Urban Scenario
- Resource allocation for contingency planning: An inexact proximal bundle method for stochastic optimization
- Robust passivity and stability analysis of uncertain complex-valued impulsive neural networks with time-varying delays
- A Stochastic Multi-Agent Optimization Framework for Interdependent Transportation and Power System Analyses
- Layered Stochastic Approximation Monte-Carlo method for tall building and tower fragility in mixed wind load climates
- A multi-objective resilience-economic stochastic scheduling method for microgrid
- Bunkering policies for a fuel bunker management problem for liner shipping networks
- Event-Triggered Finite-Time Adaptive Fuzzy Tracking Control for Stochastic Nontriangular Structure Nonlinear Systems
- An AI-based intelligent system for healthcare analysis using Ridge-Adaline Stochastic Gradient Descent Classifier
- Distributed stochastic principal component analysis using stabilized Barzilai-Borwein step-size for data compression with WSN
- Hybrid robust-stochastic bidding strategy for integrated power to gas and compressed air energy storage systems coordinated with wind farm
- Abstracting the Sampling Behaviour of Stochastic Linear Periodic Event-Triggered Control Systems
- Valuation of reactive power support provided by photovoltaic systems in distribution networks
- [CITATION][C] Control of Discrete-Time Stochastic Systems With Packet Loss by Event-Triggered Approach….. Z. Hu, P. Shi, J. Zhang, and F. Deng 755 Forward …
- On the advantages of stochastic encoders
- Fluctuation-dissipation Type Theorem in Stochastic Linear Learning
- A bus signal priority model at oversaturated intersection under stochastic demand
- Landscape and flux quantify the stochastic transition dynamics for p53 cell fate decision
- A Survey on Integrated Access and Backhaul Networks
- Stochastic optimal planning scheme of a zero-carbon multi-energy system (ZC-MES) considering the uncertainties of individual energy demand and renewable …
- A beginning quantitative taxonomy of cognitive activation systems and application to continuous flow processes
- Toward a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks
- A Stochastic View of Varying Styles in Art Paintings
- Solving optimal power flow problem with stochastic wind–solar–small hydro power using barnacles mating optimizer
- A robust stochastic stability analysis approach for power system considering wind speed prediction error based on Markov model
- Convergence and Stability of the Truncated Euler-Maruyama Method for Stochastic Differential Equations with Piecewise Continuous Arguments
- Tobit Kalman filtering for fractional-order systems with stochastic nonlinearities under Round-Robin protocol
- PowerEvaluationBALD: Efficient Evaluation-Oriented Deep (Bayesian) Active Learning with Stochastic Acquisition Functions
- Dynamic User Allocation in Stochastic Edge Computing Systems
- Recurrent neural networks for time series forecasting: Current status and future directions
- Delay-dependent stability analysis of stochastic time-delay systems involving Poisson process
- Application of information fusion techniques and satellite products in the optimal redesign of rain gauge networks
- Partial-neurons-based state estimation for delayed neural networks with state-dependent noises under redundant channels
- Modeling RIS Empowered Outdoor-to-Indoor Communication in mmWave Cellular Networks
- Featured Hybrid Recommendation System Using Stochastic Gradient Descent
- Dynamics and synchronization of boundary coupled FitzHugh-Nagumo neural networks
- Generative Adversarial Networks (GANs) Challenges, Solutions, and Future Directions
- Bayesian Networks for Online Cybersecurity Threat Detection
- TERA: Optimizing Stochastic Regression Tests in Machine Learning Projects
- Machine learning assisted stochastic progressive failure analysis of composite laminates in a meso-macro framework
- Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran
- The impact of congestion on protection decisions in supply networks under disruptions
- Complex networks identification using Bayesian model with independent Laplace prior
- Going deeper with image transformers
- Structure-preserving neural networks
- Foundations and modelling of dynamic networks using dynamic graph neural networks: A survey
- Efficient presolving methods for influence maximization problem in social networks
- Outer Synchronization Between Complex Delayed Networks with Both Uncertain Parameters and Unknown Topological Structure
- Mlp-mixer: An all-mlp architecture for vision
- Neural networks behave as hash encoders: An empirical study
- Memory-event-triggering H8 reliable control for networked jacket platforms against earthquakes and stochastic actuator faults
- MEAN-SQUARE EXPONENTIAL STABILITY ANALYSIS AND H8 PERFORMANCE OF IMPULSIVE STOCHASTIC SYSTEMS WITH TIME-VARYING …
- Functional Priors for Bayesian Neural Networks through Wasserstein Distance Minimization to Gaussian Processes
- CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks
- Outlier-resistant l 2-l 8 state estimation for discrete-time memristive neural networks with time-delays
- Combinatorial approach to spreading processes on networks
- Consensus Protocol Design for Leader-Following Multi-Agent Systems With Stochastic Sampling Information
- [CITATION][C] Hyperparameter-free Regularization by Sampling from an Infinite Space of Neural Networks
- Neuroevolution in deep neural networks: Current trends and future challenges
- Adaptive fuzzy finite-time control of stochastic nonlinear systems with actuator faults
- Novel extended dissipativity criteria for generalized neural networks with interval discrete and distributed time-varying delays
- A stochastic geospatial epidemic model and simulation using an event modulated Gillespie algorithm
- Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds
- Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts
- Linearized two-layers neural networks in high dimension
- Simulation and Analysis Methods for Stochastic Compartmental Epidemic Models
- Untangling the Small Intestine in 4D MRI using Deep Stochastic Tracking
- A novel fuzzy cloud stochastic framework for energy management of renewable microgrids based on maximum deployment of electric vehicles
- A hybrid stochastic optimization framework for composite nonconvex optimization
- Parametron on magnetic dot: Stable and stochastic operation
- Avoidance, antipathy, and aggression: A three-wave longitudinal network study on negative networks, status, and heteromisos
- Exact Recovery of Stochastic Block Model by Ising Model
- Stochastic modelling of 3D fiber structures imaged with X-ray microtomography
- Deep Learning and Neural Networks Overview
- Stochastic Analysis of Network-Level Bridge Maintenance Needs Using Latin Hypercube Sampling
- Training Deep Architectures Without End-to-End Backpropagation: A Brief Survey
- Classification of olive leaf diseases using deep convolutional neural networks
- Distributed genetic algorithm for lifetime coverage optimisation in wireless sensor networks
- Optimizing Information Freshness for Cooperative IoT Systems with Stochastic Arrivals
- Highly Complex Resource Scheduling for Stochastic Demands in Heterogeneous Clouds
- Stochastic multi-objective optimization to design optimal transactive pricing for dynamic demand response programs: A bi-level fuzzy approach
- Growth moment, stability and asymptotic behaviours of solution to a class of time-fractal-fractional stochastic differential equation
- Non-invasive inference of thrombus material properties with physics-informed neural networks
- Convex Smoothed Autoencoder-Optimal Transport model
- Neural-network-based control for discrete-time nonlinear systems with input saturation under stochastic communication protocol
- New Results on Stability of Coupled Impulsive Fractional-Order Systems on Networks
- Master–slave synchronization of neural networks via event-triggered dynamic controller
- The Rise of Platform-Based Networks: Outlook for the Real Estate Brokerage Industry
- Robust learning with implicit residual networks
- Assortativity measures for weighted and directed networks
- Multiple improved residual networks for medical image super-resolution
- Modeling bursting in neuronal networks using facilitation-depression and afterhyperpolarization
- Neural networks-based backward scheme for fully nonlinear PDEs
- Optimal sampling and scheduling for timely status updates in multi-source networks
- Delay-coupled fractional order complex Cohen-Grossberg neural networks under parameter uncertainty: Synchronization stability criteria [J]
- Inequity-averse stochastic decision processes
- Integration of designing price-based demand response models into a stochastic bi-level scheduling of multiple energy carrier microgrids considering energy storage …
- Simultaneous perturbation stochastic approximation of the quantum fisher information
- RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification
- A three-stage stochastic planning model for enhancing the resilience of distribution systems with microgrid formation strategy
- Identification of linear and nonlinear flutter derivatives of bridge decks by unscented Kalman filter approach from free vibration or stochastic buffeting response
- An augmented delays-dependent region partitioning approach for recurrent neural networks with multiple time-varying delays
- Fuzzy stochastic differential equations driven by fractional Brownian motion
- Adaptive Synchronization of Fractional-Order Delayed Memristive Neural Networks
- Observability Analysis of a Power System Stochastic Dynamical Model Using a Derivative-Free Approach
- Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks
- A stochastic semi-non-parametric analysis of regional efficiency in the European Union
- Dynamic Spectrum Access using Stochastic Multi-User Bandits
- A pathwise stochastic Landau-Lifshitz-Gilbert equation with application to large deviations
- An Intuitionistic Fuzzy Set Driven Stochastic Active Contour Model with Uncertainty Analysis
- Vivit: A video vision transformer
- Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling
- Why over-parameterization of deep neural networks does not overfit?
- Accepted Sessions
- Uniformly optimal multi-sensor design in pipe networks for transient-based leakage localization
- Master equation analysis of mesoscopic localization in contagion dynamics on higher-order networks
- Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks
- On dynamic scheduling of a call center with complete resource pooling in heavy tra c
- Application of complex networks for monthly rainfall dynamics over central Vietnam
- Stochastic switched sampled-data control for uncertain fuzzy systems with packet dropout
- A DECOMPOSITION APPROACH FOR THE TWO-STAGE STOCHASTIC SUPPLY NETWORK PLANNING IN LIGHT OF THE ROLLING HORIZON PRACTICE
- Stochastic Binning and Coded Demixing for Unsourced Random Access
- Minimax rates in network analysis: Graphon estimation, community detection and hypothesis testing
- Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks
- Emergency Detection with Environment Sound Using Deep Convolutional Neural Networks
- Stochastic optimal dispatching strategy of electricity-hydrogen-gas-heat integrated energy system based on improved spectral clustering method
- A simplified multifractal model for self-similar traffic flows in high-speed computer networks revisited
- Performance Enhancement for Microgrids Under the Demand Uncertainties with the Presence of Multiple DGs Through Stochastic Ranking Algorithm
- Input-output networks considering graphlet-based analysis for production optimization: Application in ethylene plants
- Extended dissipativity of semi-Markov jump neural networks with partly unknown transition rates
- Formation Control of Stochastic Multivehicle Systems
- Non-rigid registration of point clouds using landmarks and stochastic neighbor embedding
- Swin transformer: Hierarchical vision transformer using shifted windows
- Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation
- Event-triggered online energy flow control strategy for regional integrated energy system using Lyapunov optimization
- Implementation of Recommender System Using Neural Networks and Deep Learning
- A covariance matrix-based spectrum sensing technology exploiting stochastic resonance and filters
- Resilience toward supply disruptions: A stochastic inventory control model with partial backordering under the base stock policy
- A fuzzy adaptive fractional order-PID controller for frequency control of an islanded microgrid under stochastic wind/solar uncertainties
- Deep Learning in Science: Theory, Algorithms, and Applications
- Optimization on data offloading ratio of designed caching in heterogeneous mobile wireless networks
- Coexistence, dispersal and spatial structure in metacommunities: a stochastic model approach
- Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
- Benefit of PARMA Modeling for Long-Term Hydroelectric Scheduling Using Stochastic Dual Dynamic Programming
- A deep collocation method for the bending analysis of Kirchhoff plate
- Poisson approximation with applications to stochastic geometry
- A component mode synthesis method for reduced-order modeling of cable networks in cable-stayed bridges
- Stochastic modelling and analysis of harvesting model: Application to” summer fishing moratorium” by intermittent control
- Bayesian neural networks for weak solution of PDEs with uncertainty quantification
- Adaptive dynamic surface full state constraints control for stochastic Markov jump systems based on event-triggered strategy
- Input-to-state stability of impulsive stochastic infinite dimensional systems with Poisson jumps
- Analysis of storm surge characteristics based on stochastic process [J]
- Stochastic faulty estimator-based non-fragile tracking controller for multi-agent systems with communication delay
- Periodic solutions of Cohen-Grossberg-type Bi-directional associative memory neural networks with neutral delays and impulses [J]
- Stochastic Optimization Methods for Modern Machine Learning Problems
- Has NANOGrav found first evidence for cosmic strings?
- Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems
- Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms
- Layerwise learning for quantum neural networks
- Barlow twins: Self-supervised learning via redundancy reduction
- Deep learning for mining protein data
- Stochastic filtering based transmissibility estimation of novel coronavirus
- Improving siamese networks for one-shot learning using kernel-based activation functions
- Surrogate-Based Stochastic Multiobjective Optimization for Coastal Aquifer Management under Parameter Uncertainty
- Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine
- Learning earth system models from observations: machine learning or data assimilation?
- Dynamic neural networks: A survey
- Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation
- Similarity preserving overlapping community detection in signed networks
- Augmented two-side-looped Lyapunov functional for sampled-data-based synchronization of chaotic neural networks with actuator saturation
- Robust early-learning: Hindering the memorization of noisy labels
- Topological properties of the set of functions generated by neural networks of fixed size
- Stochastic optimization for price-based unit commitment in renewable energy-based personal rapid transit systems in sustainable smart cities
- Scaling local self-attention for parameter efficient visual backbones
- Simulation-based optimisation for stochastic maintenance routing in an offshore wind farm
- Tools for time-course simulation in systems biology: a brief overview
- Competition for medical supplies under stochastic demand in the Covid-19 pandemic: A Generalized Nash Equilibrium framework
- Revisiting resnets: Improved training and scaling strategies
- Co-scale conv-attentional image transformers
- Comparative Analysis of Edge Information and Polarization on SAR-to-Optical Translation Based on Conditional Generative Adversarial Networks
- Non-Stochastic Information Theory
- DETECTING OVERLAPPING COMMUNITIES IN NETWORKS WITH EXTREMAL OPTIMIZATION
- Traffic Characterisation for Telecommunication Networks
- Process screening framework for the synthesis of process networks from a circular economy perspective
- A structural model of homophily and clustering in social networks
- High-performance large-scale image recognition without normalization
- Development of Hybrid Neural Networks
- A GAN-based image transformation scheme for privacy-preserving deep neural networks
- Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization
- [CITATION][C] Automatic control variates for option pricing using neural networks
- Permeability evolution of two-dimensional fracture networks during shear under constant normal stiffness boundary conditions
- Distinct co-occurrence patterns of prokaryotic community between the waters and sediments in lakes with different salinity
- Finite-time fuzzy output-feedback control for -norm stochastic nonlinear systems with output constraints [J]
- Accurate, efficient and scalable training of Graph Neural Networks
- Using Models to (Re-) Design Synthetic Circuits
- A Mixed-Integer Conic Formulation for Optimal Placement and Dimensioning of DGs in DC Distribution Networks
- STS-02-5 Direct Comparison of Radial Basis Functions and Artificial Neural Networks for the Dynamic Metamodelling in Multidisciplinary Optimization …
- Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization
- Modelling the early phase of the Belgian COVID-19 epidemic using a stochastic compartmental model and studying its implied future trajectories
- Variability in higher order structure of noise added to weighted networks
- An algorithm for ranking the nodes of multiplex networks with data based on the PageRank concept
- Overlapping Community Detection in Temporal Text Networks
- On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton–Jacobi partial differential equations
- [CITATION][C] Stability and prevalence of McKean–Vlasov stochastic differential equations with non-Lipschitz coefficients
- Information Thermodynamics and Reducibility of Large Gene Networks
- An improved convergence analysis for decentralized online stochastic non-convex optimization
- Probabilistic convergence analysis of the stochastic particle swarm optimization model without the stagnation assumption
- PFNN: A penalty-free neural network method for solving a class of second-order boundary-value problems on complex geometries
- Controlling the schedule risk in green building projects: Buffer management framework with activity dependence
- Wireless sensor networks for continuous structural health monitoring of historic masonry towers
- Synchronization and metabolic energy consumption in stochastic Hodgkin-Huxley neurons: Patch size and drug blockers
- Fixed-time bipartite synchronization with a pre-appointed settling time over directed cooperative–antagonistic networks
- Dynamic Hidden-Variable Network Models
- 3D multi-scale deep convolutional neural networks for pulmonary nodule detection
- MultiLevel Composite Stochastic Optimization via Nested Variance Reduction
- Improved results on mixed passive and performance for uncertain neural networks with mixed interval time-varying delays via feedback control [J]
- A novel randomised particle swarm optimizer
- Age of information: An introduction and survey
- Metamodel-Based Reliability Analysis in Spatially Variable Soils Using Convolutional Neural Networks
- The Bayesian Method of Tensor Networks
- Memory attention networks for skeleton-based action recognition
- Densely connected convolutional networks-based COVID-19 screening model
- Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
- Optimal stochastic scheduling of electrical and thermal renewable and non-renewable resources in virtual power plant
- 2020 Index journal of communications and networks, volume 22
- Preliminaries on the accurate estimation of the Hurst exponent using time series
- Equivalent continuum-based upscaling of flow in discrete fracture networks: The fracture-and-pipe model
- Effects of dual networks on tax strategies: geography and transaction
- Bipartite consensus for multi-agent systems with noises over Markovian switching topologies
- Machine learning of stochastic automata and evolutionary games
- Optimal Dividend Problem: Asymptotic Analysis
- MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images
- Multidimensional community discovering in heterogeneous social networks
- A new solution approach for multi-stage semi-open queuing networks: An application in shuttle-based compact storage systems
- Computation of optimal transport and related hedging problems via penalization and neural networks
- DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks
- Towards Accelerating Training of Batch Normalization: A Manifold Perspective
- Ultrasonic guided wave based structural damage detection and localization using model assisted convolutional and recurrent neural networks
- Deterministic and stochastic rules of branching govern dendrite morphogenesis of sensory neurons
- The interplay of blood flow and temperature in regional hyperthermia: a mathematical approach
- An Analytical Modelling Technique for Computing Transfer Time Distributions in Peer-to-Peer Networks
- [CITATION][C] Preprint list
- Finite-Time Synchronization Control for Markovian Jump Memristive Neural Networks with Reaction-Diffusion Terms
- The gap between theory and practice in function approximation with deep neural networks
- Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic
- SDGNN: Learning Node Representation for Signed Directed Networks
- Simheuristics Approaches for Efficient Decision-Making Support in Materials Trading Networks
- Random features strengthen graph neural networks
- A new irregular cellular learning automata-based evolutionary computation for time series link prediction in social networks
- Nature inspired optimization algorithms or simply variations of metaheuristics?
- The effect of coefficients on the continuous attractors in coupled Highway Neural Networks
- A Community Interaction-Based Routing Protocol for Opportunistic Networks
- Numerical solution of the parametric diffusion equation by deep neural networks
- Research on image inpainting algorithm of improved GAN based on two-discriminations networks
- High temporal resolution rainfall–runoff modeling using long-short-term-memory (LSTM) networks
- A Hardware Pseudo-Random Number Generator Using Stochastic Computing and Logistic Map
- The Integration of Rotary MEMS INS and GNSS with Artificial Neural Networks
- Reinforcement Learning for Flexibility Design Problems
- Stochastic resonance in a piecewise bistable energy harvesting model driven by harmonic excitation and additive Gaussian white noise
- A two-stage stochastic p-robust optimal energy trading management in microgrid operation considering uncertainty with hybrid demand response
- 1D convolutional neural networks and applications: A survey
- FPGAN: Face de-identification method with generative adversarial networks for social robots
- The average abundance function with mutation of the multi-player snowdrift evolutionary game model
- Characterization of Vulnerability of Road Networks to Random and Nonrandom Disruptions Using Network Percolation Approach
- On Modeling and Performability Evaluation of Time Varying Communication Networks
- Cross-subject transfer learning in human activity recognition systems using generative adversarial networks
- Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors
- Generalized regularized least-squares approximation of noisy data with application to stochastic PDEs
- An environment-adaptive protection scheme with long-term reward for distribution networks
- A stochastic short-term scheduling of virtual power plants with electric vehicles under competitive markets
- An optimal time modulated compact circular antenna array design using a stochastic optimization technique
- Quantitative Representation of Aleatoric Uncertainties in Network-like Topological Structural Systems
- Baryon acoustic oscillations reconstruction using convolutional neural networks
- Transfer learning with graph neural networks for short-term highway traffic forecasting
- Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks
- Solving the one-warehouse N-retailers problem with stochastic demand: An inter-ratio policies approach
- Fuzzy Stochastic Automation Model for Decision Support in the Process Inter-Budgetary Regulation
- Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
- Recent challenges in Routing and Inventory Routing: E-commerce and last-mile delivery
- Robust stability analysis of impulsive quaternion-valued neural networks with distributed delays and parameter uncertainties
- International human migration networks under regulations
- Petri Net Modelling of Biological Regulatory Networks
- Temporal convolutional neural networks for radar micro-Doppler based gait recognition
- Building Robust Closed-Loop Supply Networks against Malicious Attacks
- A review of uncertainty quantification in deep learning: Techniques, applications and challenges
- Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
- Fully convolutional neural networks for raw eye tracking data segmentation, generation, and reconstruction
- Building Energy Management for Passive Cooling Based on Stochastic Occupants Behavior Evaluation
- Persistent Aerial Monitoring under Unknown Stochastic Dynamics in Pick-up and Delivery Missions
- Exponential stability of stochastic Markovian jump systems with time-varying and distributed delays
- Transfer Learning and Augmentation for Word Sense Disambiguation
- Passivity Analysis of CDNs With Multiple Time-Varying Delays
- Spatial capacity planning
- PNPDet: Efficient Few-Shot Detection Without Forgetting via Plug-and-Play Sub-Networks
- Coupled Gradient Estimators for Discrete Latent Variables
- An accelerated directional derivative method for smooth stochastic convex optimization
- Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
- Conceptual Bayesian networks for contaminated site ecological risk assessment and remediation support
- Generative adversarial networks for financial trading strategies fine-tuning and combination
- Improved ACD-based financial trade durations prediction leveraging LSTM networks and Attention Mechanism
- A Novel Measure Inspired by Lyapunov Exponents for the Characterization of Dynamics in State-Transition Networks
- An online conjugate gradient algorithm for large-scale data analysis in machine learning [J]
- Brain-Inspired Data Transmission in Dense Wireless Network
- DeepXDE: A deep learning library for solving differential equations
- Hybrid active/passive wireless network aided by intelligent reflecting surface: System modeling and performance analysis
- Stochastic inversion method for dynamic constitutive model of rock materials based on improved DREAM
- Solving quantum statistical mechanics with variational autoregressive networks and quantum circuits
- Application of deep learning methods in biological networks
- Event-based secure H8 load frequency control for delayed power systems subject to deception attacks
- A new method for compensating the errors of integrated navigation systems using artificial neural networks
- Distributed planning of electricity and natural gas networks and energy hubs
- Health level classification by fusing medical evaluation from multiple social networks
- A general two-phase Markov chain Monte Carlo approach for constrained design optimization: Application to stochastic structural optimization
- Robust overfitting may be mitigated by properly learned smoothening
- Hyperbolic node embedding for signed networks
- Alpha-divergence minimization with mixed variational posterior for Bayesian neural networks and its robustness against adversarial examples
- Applied Machine Learning in Social Sciences: Neural Networks and Crime Prediction
- Passivity Analysis and Pinning Control of Multi-weighted CDNs
- Fitting a reversible Markov chain by maximum likelihood: Converting an awkwardly constrained optimization problem to an unconstrained one
- Using wasserstein generative adversarial networks for the design of monte carlo simulations
- Nash equilibria on (un) stable networks
- Robust optimization of renewable-based multi-energy micro-grid integrated with flexible energy conversion and storage devices
- Learning interpretable deep state space model for probabilistic time series forecasting
- Duplex adversarial networks for multiple-source domain adaptation
- Asymptotic entropy of the Gibbs state of complex networks
- Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks
- Unfolding wmmse using graph neural networks for efficient power allocation
- On stability of large-scale G-SDEs: A decomposition approach
- Incorporating affiliation preference into overlapping community detection
- Analysing point patterns on networks—A review
- Learning curves for overparametrized deep neural networks: A field theory perspective
- Integrated intelligent computing paradigm for nonlinear multi-singular third-order Emden–Fowler equation
- A Mixed-Integer Convex Model for the Optimal Placement and Sizing of Distributed Generators in Power Distribution Networks
- Distributed Kalman filtering for uncertain dynamic systems with state constraints
- Enhancement of phase synchronization by an infinite variance noise in a small-world network
- Deep neural networks for estimation and inference
- Dynamic spatio-temporal patterns of metapopulation occupancy in patchy habitats
- Resilient controller synthesis for Markovian jump systems with probabilistic faults and gain fluctuations under stochastic sampling operational mechanism
- Random vector functional link neural network based ensemble deep learning
- STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks
- Hybrid Random Networks Mixing Preferential Attachment with Uniform Attachment Mechanisms
- LOW: Training deep neural networks by learning optimal sample weights
- Stone–Wales defects preserve hyperuniformity in amorphous two-dimensional networks
- Count and duration time series with equal conditional stochastic and mean orders
- The effectiveness of backward contact tracing in networks
- Physics informed neural networks for simulating radiative transfer
- Stochastic analysis and validation under aleatory and epistemic uncertainties
- Convergence and Dynamical Behavior of the ADAM Algorithm for Nonconvex Stochastic Optimization
- Distributed Computational Framework for Large-Scale Stochastic Convex Optimization
- Compositional abstraction-based synthesis of general MDPs via approximate probabilistic relations
- Passivity of DRDNs with Application to a Food Web Model
- Character-based handwritten text transcription with attention networks
- Wind turbine power curve modeling using radial basis function neural networks and tabu search
- A Benders-Decomposition and Meta-Heuristic Algorithm for a Bi-Objective Stochastic Reliable Capacitated Facility Location Problem Not Dealing with Benders …
- Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning
- Statistics of nascent and mature rna fluctuations in a stochastic model of transcriptional initiation, elongation, pausing, and termination
- Neural Networks for Estimating Speculative Attacks Models
- Efficient uncertainty quantification for dynamic subsurface flow with surrogate by Theory-guided Neural Network
- Global dynamic analysis of periodic solution for discrete-time inertial neural networks with delays [J]
- Weighted pseudo almost periodicity of multi-proportional delayed shunting inhibitory cellular neural networks with D operator
- The economic case for global vaccinations: An epidemiological model with international production networks
- Sparse Nonlinear System Identification for Hypersonic Aerothermoelastic Analysis with Stochastic Loads
- Universal discriminative quantum neural networks
- Motifs in Biological Networks
- Target Control of Asynchronous Boolean Networks
- Linear Convergence for Constrained Optimization Over Time-Varying Digraphs
- Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders
- Asynchronous fault detection filtering for piecewise homogenous Markov jump linear systems via a dual hidden Markov model
- A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes
- The role of investor attention in predicting stock prices: The long short-term memory networks perspective
- Extended gradient-based iterative algorithm for bilinear state-space systems with moving average noises by using the filtering technique
- A Practical Step-by-Step Guide for Quantifying Retroactivity in Gene Networks
- Algorithmic Approaches to Inventory Management Optimization
- FTP and FTS of CDNs with State and Derivative Coupling
- Convolutional Neural Networks for Semantic Segmentation as a Tool for Multiclass Face Analysis in Thermal Infrared
- Intelligent Agents in Co Evolving Knowledge Networks. Mathematics 2021, 9, 103
- Hyperbolic Deep Neural Networks: A Survey
- Escape and absorption probabilities for obliquely reflected Brownian motion in a quadrant
- DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning
- A Regularized Convex Nonnegative Matrix Factorization Model for signed network analysis
- Detection resource allocation scheme for two-layer cooperative IDSs in smart grids
- Optimization of water distribution networks using a deterministic approach
- Incremental approach for multi-modal face expression recognition system using deep neural networks
- Study on intelligent anti–electricity stealing early-warning technology based on convolutional neural networks
- Distributed Data Fusion for Multirate Sensor Networks
- Layer reconstruction and missing link prediction of multilayer network with Maximum A Posteriori estimation
- A case study of conditional deep convolutional generative adversarial networks in machine fault diagnosis
- Generating digital twins of mesoporous silica by graph-based stochastic microstructure modeling
- Prescribed-time cluster synchronization of uncertain complex dynamical networks with switching via pinning control
- A Comparative Analysis of AlexNet and GoogLeNet with a Simple DCNN for Face Recognition