yusuke1997/dblp-id-title huggingface dataset:
Finite-Time Observer-Based Sliding-Mode Control for Markovian Jump Systems With Switching Chain: Average Dwell-Time Method
A Many-Objective Evolutionary Algorithm Based on a Two-Round Selection Strategy
Adaptive Neural Network Control of a Robotic Manipulator With Time-Varying Output Constraints
Learning Computational Models of Video Memorability from fMRI Brain Imaging
Policy Iteration Q-Learning for Linear Itô Stochastic Systems With Markovian Jumps and its Application to Power Systems
Hierarchical Consensus Problem via Group Information Exchange
Stability of Solutions to Classes of Traveling Salesman Problems
Discriminative Exemplar Coding for Sign Language Recognition With Kinect
Optimization Tools Based on Metaheuristics for Performance Enhancement in a Gaussian Adaptive PID Controller
Controllability of Two-Time-Scale Discrete-Time Multiagent Systems
High-Order Temporal Correlation Model Learning for Time-Series Prediction
Distributed Estimation of Algebraic Connectivity
Distributed Object Detection With Linear SVMs
One-Shot Learning of Human Activity With an MAP Adapted GMM and Simplex-HMM
A Robust Collision Perception Visual Neural Network With Specific Selectivity to Darker Objects
Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints
Fuzzy Adaptive Finite-Time Resilient Control Against Unknown False Data Injection Attacks for MIMO Nonlinear Switched Systems With Unknown Dead Zone
Cross-Domain Pattern Classification With Distribution Adaptation Based on Evidence Theory
Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS
Adaptive Fuzzy Output Feedback Control for Switched Nonlinear Systems With Unmodeled Dynamics
Consistent Depth Video Segmentation Using Adaptive Surface Models
Context-Aware Correlation Filter Learning Toward Peak Strength for Visual Tracking
Event-Triggered Output-Feedback Adaptive Control of Interconnected Nonlinear Systems: A Cyclic-Small-Gain Approach
Efficient Model Selection for Mixtures of Probabilistic PCA Via Hierarchical BIC
Consensus of MASs With Input and Communication Delays by Predictor-Based Protocol
Adaptive Distributed Outlier Detection for WSNs
Enhancing Resilience of Islanded Microgrids Under Disturbances, Delays, and DoS Attacks Through a Novel Digital Predictor Method
Direct Fuzzy Adaptive Regulation for High-Order Delayed Systems: A Lyapunov-Razumikhin Function Method
Static Output-Feedback H ∞ Control Design Procedures for Continuous-Time Systems With Different Levels of Model Knowledge
A Multiobjective Evolutionary Algorithm Based on Structural and Attribute Similarities for Community Detection in Attributed Networks
Stability and Stabilization of Nash Equilibrium for Uncertain Noncooperative Dynamical Systems With Zero-Sum Tax/Subsidy Approach
Incremental Learning-Enabled Fault Diagnosis of Dynamic Systems: A Comprehensive Review
NFC-Powered Implantable Device for On-Body Parameters Monitoring With Secure Data Exchange Link to a Medical Blockchain Type of Network
High-Order Distance-Based Multiview Stochastic Learning in Image Classification
NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification
Cooperative Tracking Control for Nonlinear MASs Under Event-Triggered Communication
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme
Data-Driven Point-to-Point Finite-Iteration Learning Control for a Class of Nonlinear Systems With Output Saturation
Fine Tuning of Deep Contexts Toward Improved Perceptual Quality of In-Paintings
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation
Distributed Synchronization in Networks of Agent Systems With Nonlinearities and Random Switchings
A Variational Approach to Simultaneous Image Segmentation and Bias Correction
A Self-Paced Regularization Framework for Partial-Label Learning
Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning
Consensus of Nonlinear Uncertain Delayed Multiagent Systems Modeled by PDEs via Adaptive Boundary Control
Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach
Gaussian Mixture Model and Self-Organizing Map Neural-Network-Based Coverage for Target Search in Curve-Shape Area
Limited-Budget Output Consensus for Descriptor Multiagent Systems With Energy Constraints
Distributed Continuous-Time Algorithms for Resource Allocation Problems Over Weight-Balanced Digraphs
Ultra-Wideband and Odometry-Based Cooperative Relative Localization With Application to Multi-UAV Formation Control
First- and Second-Order Sliding Mode Control Design for Networked 2-D Systems Under Round-Robin Protocol
Intermittent Control for Quasisynchronization of Delayed Discrete-Time Neural Networks
Robust Adaptive Fuzzy Control of a Class of Uncertain Nonlinear Systems With Unstable Dynamics and Mismatched Disturbances
A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition
Principal Component Analysis for Normal-Distribution-Valued Symbolic Data
A Memetic Algorithm Based on Probability Learning for Solving the Multidimensional Knapsack Problem
Estimator-Based Second-Order Sliding Mode Control Design for Nonlinear Systems With Unknown Input Delay
Fuzzy-Affine-Model-Based Filtering Design for Continuous-Time Roesser-Type 2-D Nonlinear Systems
Learning-Based Model-Free Adaptive Control for Nonlinear Discrete-Time Networked Control Systems Under Hybrid Cyber Attacks
Granular Computing: Perspectives and Challenges
Energy-Saving Robust Saturated Control for Active Suspension Systems via Employing Beneficial Nonlinearity and Disturbance
Dynamic Protocol-Based Control for Hidden Stochastic Jump Multiarea Power Systems in Finite-Time Interval
Iris Liveness Detection Using Fusion of Domain-Specific Multiple BSIF and DenseNet Features
Adaptive Formation Control of Nonlinear High-Order Fully Actuated Multiagent Systems With Full-State Constraints and Its Application
Nonsmooth Finite-Time Synchronization of Switched Coupled Neural Networks
Resilient Structural Sparsity in the Design of Consensus Networks
The Collaborative Local Search Based on Dynamic-Constrained Decomposition With Grids for Combinatorial Multiobjective Optimization
Low-Rank Preserving Projection Via Graph Regularized Reconstruction
Deep Learning Method for Grasping Novel Objects Using Dexterous Hands
A Novel Sliding Mode Control for a Class of Stochastic Polynomial Fuzzy Systems Based on SOS Method
Dissipativity-Based Consensus Tracking Control of Nonlinear Multiagent Systems With Generally Uncertain Markovian Switching Topologies and Event-Triggered Strategy
Fixed-Time Synchronization of Complex Dynamical Networks: A Novel and Economical Mechanism
Dual-Modal Gesture Recognition Using Adaptive Weight Hierarchical Soft Voting Mechanism
Asynchronous Episodic Deep Deterministic Policy Gradient: Toward Continuous Control in Computationally Complex Environments
Generalized Laplacian Eigenmaps for Modeling and Tracking Human Motions
Model Fusion and Multiscale Feature Learning for Fault Diagnosis of Industrial Processes
Degree-Pruning Dynamic Programming Approaches to Central Time Series Minimizing Dynamic Time Warping Distance
Predicting Demands of COVID-19 Prevention and Control Materials via Co-Evolutionary Transfer Learning
Output Consensus of Heterogeneous Linear Multi-Agent Systems by Distributed Event-Triggered/Self-Triggered Strategy
Discriminative Tracking Using Tensor Pooling
Reducing Mode Collapse With Monge-Kantorovich Optimal Transport for Generative Adversarial Networks
A Deep Learning Framework for News Readers' Emotion Prediction Based on Features From News Article and Pseudo Comments
Joint Learning of Multiple Differential Networks With Latent Variables
Fixed/Preassigned-Time Synchronization of Complex Networks via Improving Fixed-Time Stability
Distributed Sensor Fusion for Scalar Field Mapping Using Mobile Sensor Networks
Fault Identification for a Class of Nonlinear Systems of Canonical Form via Deterministic Learning
Bidirectional Optimization of the Melting Spinning Process
A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation
Lossless Data Hiding in Encrypted Images Compatible With Homomorphic Processing
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination
Toward Noise-Resistant Graph Embedding With Subspace Clustering Information
Animation Control of Surface Motion Capture
Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach
Nonfragile Near-Optimal Control of Stochastic Time-Varying Multiagent Systems With Control- and State-Dependent Noises
Coordinating the Bidding Strategy in Multiissue Multiobject Negotiation With Single and Multiple Providers
Event-Triggered Cooperative Model-Free Adaptive Iterative Learning Control for Multiple Subway Trains With Actuator Faults
Optimal Output Regulation of Linear Discrete-Time Systems With Unknown Dynamics Using Reinforcement Learning
Substability and Substabilization: Control of Subfully Actuated Systems
Context-Aware Block Net for Small Object Detection
Circumnavigation on Multiple Circles Around a Nonstationary Target With Desired Angular Spacing
Enhanced Resilient Fuzzy Stabilization of Discrete-Time Takagi-Sugeno Systems Based on Augmented Time-Variant Matrix Approach
Products of Generalized Stochastic Matrices With Applications to Consensus Analysis in Networks of Multiagents With Delays
Event-Triggered Communication for Leader-Following Consensus of Second-Order Multiagent Systems
Simplified Optimized Backstepping Control for a Class of Nonlinear Strict-Feedback Systems With Unknown Dynamic Functions
Distributed Extended State Observer-Based Formation Control of Flight Vehicles Subject to Constraints on Speed and Acceleration
State Estimation of Discrete-Time Switched Neural Networks With Multiple Communication Channels
A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm
An Interpretable Fuzzy System Learned Through Online Rule Generation and Multiobjective ACO With a Mobile Robot Control Application
Design of Granular Model: A Method Driven by Hyper-Box Iteration Granulation
Dynamic Surface Intelligent Robust Control of Nonlinear Systems With Fixed-Time Sliding-Mode Observer
Heterogeneously Networked Evolutionary Games With Intergroup Conflicts
Fault-Tolerant Synchronization for Memristive Neural Networks With Multiple Actuator Failures
Aperiodic Sampled-Data Control for Stabilization of Memristive Neural Networks With Actuator Saturation: A Dynamic Partitioning Method
A New Siamese Heterogeneous Convolutional Neural Networks Based on Attention Mechanism and Feature Pyramid
A Multilayer Graph for Multiagent Formation and Trajectory Tracking Control Based on MPC Algorithm
Finite-Time ${\mathscr{H}_{\infty}}$ Asynchronous Control for Nonlinear Markov Jump Distributed Parameter Systems via Quantized Fuzzy Output-Feedback Approach
Diversified Knowledge Transfer Strategy for Multitasking Particle Swarm Optimization
Link Weight Prediction Using Weight Perturbation and Latent Factor
Acceleration of Reinforcement Learning by Policy Evaluation Using Nonstationary Iterative Method
Optimizing HIV Interventions for Multiplex Social Networks via Partition-Based Random Search
Dynamic Self-Triggered Impulsive Synchronization of Complex Networks With Mismatched Parameters and Distributed Delay
Touchscreen Everywhere: On Transferring a Normal Planar Surface to a Touch-Sensitive Display
Closed-Form Estimates of the Domain of Attraction for Nonlinear Systems via Fuzzy-Polynomial Models
Reinforcement-Learning-Based Disturbance Rejection Control for Uncertain Nonlinear Systems
Observer-Based Event-Driven Control for Discrete-Time Systems With Disturbance Rejection
Leader-Following Mean-Square Consensus of Stochastic Multiagent Systems With ROUs and RONs via Distributed Event-Triggered Impulsive Control
A Novel Dual-Phase Based Approach for Distributed Event-Triggered Control of Multiagent Systems With Guaranteed Performance
Event-Triggered Quantized Communication-Based Consensus in Multiagent Systems via Sliding Mode
Robotic Billiards: Understanding Humans in Order to Counter Them
Energy-to-Peak State Estimation With Intermittent Measurement Outliers: The Single-Output Case
Adaptive Bipartite Time-Varying Output Formation Control for Multiagent Systems on Signed Directed Graphs
On Designing Distributed Prescribed Finite-Time Observers for Strict-Feedback Nonlinear Systems
Optimization of Communication Network Topology in Distributed Control Systems Subject to Prescribed Decay Rate
Concept Drift Detection via Equal Intensity k-Means Space Partitioning
Consistency-Driven Automatic Methodology to Set Interval Numerical Scales of 2-Tuple Linguistic Term Sets and Its Use in the Linguistic GDM With Preference Relation
Reinforcement Learning-Based Predefined-Time Tracking Control for Nonlinear Systems Under Identifier-Critic-Actor Structure
Master-Slave Synchronization of Neural Networks With Unbounded Delays via Adaptive Method
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments
Nonparametric Estimation of Probabilistic Membership for Subspace Clustering
Joint Pricing and Decision-Making for Heterogeneous User Demand in Cognitive Radio Networks
A Learning-Based Framework for Error Compensation in 3D Printing
Scale-Limited Activating Sets and Multiperiodicity for Threshold-Linear Networks on Time Scales
A Joint Graphical Model for Inferring Gene Networks Across Multiple Subpopulations and Data Types
Distributed H ∞ Filtering for Switched Stochastic Delayed Systems Over Sensor Networks With Fading Measurements
Sequential Gating Ensemble Network for Noise Robust Multiscale Face Restoration
Two-Stage Learning to Predict Human Eye Fixations via SDAEs
Gradient-Based Local Causal Structure Learning
RNN-K: A Reinforced Newton Method for Consensus-Based Distributed Optimization and Control Over Multiagent Systems
Indefinite Mean-Field Stochastic Cooperative Linear-Quadratic Dynamic Difference Game With Its Application to the Network Security Model
Neural Network-Based Knowledge Transfer for Multitask Optimization
Dynamic Analysis and Robust Strategy for the Delayed Paradoxical Cell Population Control Circuit
Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem
Finite-Time Dissipative Fuzzy State Estimation for Jump Systems With Mixed Cyber Attacks: A Probabilistic Event-Triggered Approach
Observer-Based Non-PDC Control for Networked T-S Fuzzy Systems With an Event-Triggered Communication
Nussbaum-Based Adaptive Neural Networks Tracking Control for Nonlinear PDE-ODE Systems Subject to Deception Attacks
ℓ₂-ℓ∞ Control of Discrete-Time State-Delay Interval Type-2 Fuzzy Systems via Dynamic Output Feedback
Global Consensus Tracking Control for High-Order Nonlinear Multiagent Systems With Prescribed Performance
Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning
A New Incomplete Pattern Classification Method Based on Evidential Reasoning
Stochastic Optimal Control for Robot Manipulation Skill Learning Under Time-Varying Uncertain Environment
Engineering Deep Representations for Modeling Aesthetic Perception
Quasi-Synchronization of Heterogeneous Networks With a Generalized Markovian Topology and Event-Triggered Communication
Design and Validation of a Virtual Player for Studying Interpersonal Coordination in the Mirror Game
Humanoid Path Planning From HRI Perspective: A Scalable Approach via Waypoints With a Time Index
Multiperiod Location Models for Urban System Planning With Fuzzy Intercity Passenger Transportation Demands
Adaptive-Critic Design for Decentralized Event-Triggered Control of Constrained Nonlinear Interconnected Systems Within an Identifier-Critic Framework
A Fuzzy Rule-Based Penalty Function Approach for Constrained Evolutionary Optimization
Observer-Based Adaptive NN Security Control for Switched Nonlinear Systems Against DoS Attacks: An ADT Approach
An Adaptive Force Guidance System for Computer-Guided Laparoscopy Training
Road Risk Modeling and Cloud-Aided Safety-Based Route Planning
Correlation Information Enhanced Graph Anomaly Detection via Hypergraph Transformation
Automated Design of Collaboration-Based Hybrid Metaheuristics
Adaptive Neural Sliding-Mode Control for Fuzzy Singularly Perturbed Systems: Sojourn-Probability-Based Stochastic Communication Protocol
Refined Fractional-Order Fault-Tolerant Coordinated Tracking Control of Networked Fixed-Wing UAVs Against Faults and Communication Delays via Double Recurrent Perturbation FNNs
Practical Output Containment of Heterogeneous Nonlinear Multiagent Systems Under External Disturbances
Zero-Sum Two-Player Game Theoretic Formulation of Affine Nonlinear Discrete-Time Systems Using Neural Networks
Adaptive Dynamic Surface Control for Uncertain Nonlinear Systems With Interval Type-2 Fuzzy Neural Networks
Implicit Posteriori Parameter Distribution Optimization in Reinforcement Learning
Strong Non-Zeno Mixed Adaptive Dynamic Event-Triggered Control for Distributed Consensus
Distributed Event-Triggered Adaptive Control for Consensus of Linear Multi-Agent Systems with External Disturbances
Adaptive Fuzzy Output-Feedback Control for Switched Uncertain Nonlinear Systems With Full-State Constraints
Event-Based Control for Networked T-S Fuzzy Systems via Auxiliary Random Series Approach
Policy Iteration-Based Learning Design for Linear Continuous-Time Systems Under Initial Stabilizing OPFB Policy
Exponential State Estimation for Memristor-Based Discrete-Time BAM Neural Networks With Additive Delay Components
Robust Dynamic Actuator Failure Compensation Control of Nonlinear Systems via Cooperative Interaction Design
Adversarial CAPTCHAs
LMCBert: An Automatic Academic Paper Rating Model Based on Large Language Models and Contrastive Learning
Adaptive NN Control Without Feasibility Conditions for Nonlinear State Constrained Stochastic Systems With Unknown Time Delays
Event-Based Dissipative Filtering of Markovian Jump Neural Networks Subject to Incomplete Measurements and Stochastic Cyber-Attacks
Fractional-Proportional-Type Iterative Learning Control With a Novel Gain Selection Rule
Self-Organizing Neural Scheduler for the Flexible Job Shop Problem With Periodic Maintenance and Mandatory Outsourcing Constraints
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling
Continuous Graph Learning-Based Self-Adaptation for Multi-Stream Concept Drift
Optimized Adaptive Fuzzy Security Control of Nonlinear Systems With Prescribed Tracking Performance
Cooperative Output Tracking of Unknown Heterogeneous Linear Systems by Distributed Event-Triggered Adaptive Control
Trust-Tech Source-Point Method for Systematically Computing Multiple Local Optimal Solutions: Theory and Method
Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images
Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification
A Heuristic Initialized Stochastic Memetic Algorithm for MDPVRP With Interdependent Depot Operations
Distributed Fault Detection and Isolation Resilient to Network Model Uncertainties
Transparent Digital Twin for Output Control Using Belief Rule Base
Attn-HybridNet: Improving Discriminability of Hybrid Features With Attention Fusion
Multidomain Adaptation With Sample and Source Distillation
PSDC: A Prototype-Based Shared-Dummy Classifier Model for Open-Set Domain Adaptation
Coupling Disturbance Modeling and Compensation for Aerial Manipulator in Highly Dynamic Motion
A Data-Driven ILC Framework for a Class of Nonlinear Discrete-Time Systems
Networked Predictive Control for Nonlinear Systems With Arbitrary Region Quantizers
Adaptive Formation Control of Cooperative Teleoperators With Intermittent Communications
Distributed Optimization of Multiagent Systems With Preserved Network Connectivity
Resilient Control Based on Secure State Estimation for Autonomous Systems Under Cyberattacks
Stochastic Fuzzy Discrete Event Systems and Their Model Identification
Multiview Subspace Clustering With Grouping Effect
Multi-ASV Coordinated Tracking With Unknown Dynamics and Input Underactuation via Model-Reference Reinforcement Learning Control
Local Boundary Fuzzified Rough K-Means-Based Information Granulation Algorithm Under the Principle of Justifiable Granularity
Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems
Guest Editorial: Introduction to the Special Issue on Resilient Control Architectures and Systems
Anti-Synchronization in Fixed Time for Discontinuous Reaction-Diffusion Neural Networks With Time-Varying Coefficients and Time Delay
A General Position Control Method for Planar Underactuated Manipulators With Second-Order Nonholonomic Constraints
Impulsive Communication With Full and Partial Information for Adaptive Tracking Consensus of Uncertain Second-Order Multiagent Systems
Discrete-Time Deterministic Q-Learning: A Novel Convergence Analysis
Stabilizing Large-Scale Probabilistic Boolean Networks by Pinning Control
Resilient Control for Wireless Cyber-Physical Systems Subject to Jamming Attacks: A Cross-Layer Dynamic Game Approach
Estimating Position of Mobile Robots From Omnidirectional Vision Using an Adaptive Algorithm
Learning-Based Event-Triggered MPC With Gaussian Processes Under Terminal Constraints
An Adaptive Memetic Algorithm for the Joint Allocation of Heterogeneous Stochastic Resources
Text Image Deblurring Using Kernel Sparsity Prior
Multiview Consensus Structure Discovery
A Constructive Approach for Neural Network Approximation Sets in Adaptive Control of Strict-Feedback Systems
Node Topology Effect on Target Tracking Based on UWSNs Using Quantized Measurements
Resilient Consensus for Discrete-Time Multiagent Systems With a Dynamic Leader and Time Delay: Theory and Experiment
Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams
Bayesian Estimation of Human Impedance and Motion Intention for Human-Robot Collaboration
Learning to Transfer for Evolutionary Multitasking
Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling
A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation
Individual-Based Transfer Learning for Dynamic Multiobjective Optimization
Hash Bit Selection Based on Collaborative Neurodynamic Optimization
Secure Control of Networked Control Systems Using Dynamic Watermarking
A Novel Type-2 Fuzzy C-Means Clustering for Brain MR Image Segmentation
Security Analysis for Dynamic State Estimation of Power Systems With Measurement Delays
Event-Triggered Synchronization Strategy for Multiple Neural Networks With Time Delay
Robust Stabilization of T-S Fuzzy Stochastic Descriptor Systems via Integral Sliding Modes
Analysis and Synthesis of Memory-Based Fuzzy Sliding Mode Controllers
Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis
Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning
A Multimodal Perception-Driven Self Evolving Autonomous Ground Vehicle
Decentralized Adaptive Output Feedback Fault Detection and Control for Uncertain Nonlinear Interconnected Systems
Depth-Aware Image Seam Carving
Delay-Dependent Stability Criteria for Reaction-Diffusion Neural Networks With Time-Varying Delays
Hierarchical Distributed Adaptive Fault-Tolerant Control of Nonlinear Fractional-Order Multiagent Systems With Faults and Periodic Disturbances Using Event-Triggered Communication
Rapid Feedback Stabilization of Quantum Systems With Application to Preparation of Multiqubit Entangled States
I-Keyboard: Fully Imaginary Keyboard on Touch Devices Empowered by Deep Neural Decoder
Balance of Communication and Convergence: Predefined-Time Distributed Optimization Based on Zero-Gradient-Sum
Output Containment Control of Heterogeneous Linear Multiagent Systems With Unbounded Distributed Transmission Delays