yusuke1997/dblp-id-title huggingface dataset:
A Stability and Accuracy Validation Method for Multirate Digital Simulation
Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method
Thermography-Based Methodology for Multifault Diagnosis on Kinematic Chain
A Combinatorial Registration Method for Forward-Looking Sonar Image
A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems
Integrated Crash Avoidance and Mitigation Algorithm for Autonomous Vehicles
Adaptive Model-Based Reinforcement Learning for Fast-Charging Optimization of Lithium-Ion Batteries
A Novel Intelligent Deep Learning-Based Uncertainty-Guided Network Training in Market Price
Toward Robust Visual Place Recognition for Mobile Robots With an End-to-End Dark-Enhanced Net
Asymmetric Group Key Agreement Protocol Based on Blockchain and Attribute for Industrial Internet of Things
Cooperative Tracking of Fixed-Wing UAVs With Arbitrary Convergence Time: Theory and Experiment
Learning to Match Clothing From Textual Feature-Based Compatible Relationships
A Novel Multiscale Transformer Network Framework for Natural Gas Consumption Forecasting
Distributed Unsupervised Detection for Robust Power System False Data Attacks via Flexible Dynamic Time Warping Strategy
An Attribute-Based Access Control for Cloud Enabled Industrial Smart Vehicles
Adaptive Second-Order Fixed-Time Nonsingular Terminal Sliding Mode Control Based on Barrier Function for Nonlinear Systems
Graph Structure Change-Based Anomaly Detection in Multivariate Time Series of Industrial Processes
Efficient Outdoor Video Semantic Segmentation Using Feedback-Based Fully Convolution Neural Network
Synchrophasor Data Compression Under Disturbance Conditions via Cross-Entropy-Based Singular Value Decomposition
A VMD and LSTM Based Hybrid Model of Load Forecasting for Power Grid Security
PVEL-AD: A Large-Scale Open-World Dataset for Photovoltaic Cell Anomaly Detection
A Profitable and Energy-Efficient Cooperative Fog Solution for IoT Services
Free Scale 2D-3D Regional Retrieval Based on Cross Modal Information Fusion
Sensor Transmission Scheduling Over a Time-Varying Channel
Vulnerable Sequence Identification for Sequential Cascading Failure Analysis in Power Grid
Robust Power System State Estimation Using Physics-Informed Neural Networks
Orthogonal Experimental Design Based Binary Optimization Without Iteration for Fault Section Diagnosis of Power Systems
A New Approach for Compliance Checking in Service Workflows
E$^2$ DNet: An Ensembling Deep Neural Network for Solving Nonconvex Economic Dispatch in Smart Grid
Reputation-Based Optimization for Distributed Energy Management Under Persistent DoS Attacks
Rethinking Joint Detection and Embedding for Multiobject Tracking in Multiscenario
Pinpointing Interrupts in Embedded Real-Time Systems using Hashed Execution Contexts
Robust Priority Assignments for Extending Existing Controller Area Network Applications
Domain Invariant and Consistent Ordinal Representation Learning for Remaining Useful Life Prediction of Bearings
Data Age Aware Scheduling for Wireless Powered Mobile-Edge Computing in Industrial Internet of Things
Sparse-Representation-Network-Based Feature Learning of Vibration Signal for Machinery Fault Diagnosis
A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation
Power Quality Assessment and Event Detection in Distribution Network With Wind Energy Penetration Using Stockwell Transform and Fuzzy Clustering
Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data
Reward Shaping-Based Actor-Critic Deep Reinforcement Learning for Residential Energy Management
A Provably Secure Lightweight Key Agreement Protocol for Wireless Body Area Networks in Healthcare System
Energy-Efficient Device-to-Device Communications for Green Smart Cities
IoT-Enabled Intelligent Dynamic Risk Assessment of Acute Mountain Sickness: The Role of Event-Triggered Signal Processing
Evolutionary Pinning Control and Its Application in UAV Coordination
Interconnection Network Energy-Aware Workflow Scheduling Algorithm on Heterogeneous Systems
Physics-Informed Neural Networks for Robust System Identification of Ship Roll Dynamics With Noise Resilience
Real-Time Iterative Compensation Control Using Plant-Injection Feedforward Architecture With Application to Ultraprecision Wafer Stages
Secure Observer-Based Collision-Free Control for Autonomous Vehicles Under Non-Gaussian Noises
A Joint FDIA Detection and Localization Scheme and Experimental Analysis Based on Adversarial Anomaly Transformer for Power Distribution System
Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation
Analysis and Simulation of Jitter Sequences for Testing Serial Data Channels
Price-Matching-Based Regional Energy Market With Hierarchical Reinforcement Learning Algorithm
Multisource Information Fusion for Autoformer: Soft Sensor Modeling of FeO Content in Iron Ore Sintering Process
Wavelet Encoding Network for Inertial Signal Enhancement via Feature Supervision
Vertices Packaging-Based Interval Independent Component Analysis (VP-I 2 CA) for Fault Detection With Process Uncertainty
A Novel Two-Stage Fault-Detection Method Based on Constrained RVM and Integrating LDA With Minimax Probability Machine
Region- and Strength-Controllable GAN for Defect Generation and Segmentation in Industrial Images
Novel L1 Regularized Extreme Learning Machine for Soft-Sensing of an Industrial Process
Integrated Mutation Strategy With Modified Binary PSO Algorithm for Optimal PMUs Placement
A Self-Triggered MPC Strategy With Adaptive Prediction Horizon for Series Hybrid Electric Powertrains
Center-Aware Residual Anomaly Synthesis for Multiclass Industrial Anomaly Detection
An Experimental Study of Selective Cooperative Relaying in Industrial Wireless Sensor Networks
Experiments on a Simple Setup for Two-Step Quadrature Phase-Shifting Holography
Self-Calibrating Gaze Estimation With Optical Axes Projection for Head-Mounted Eye Tracking
An Image Security Model Based on Chaos and DNA Cryptography for IIoT Images
Physics-Informed Scattering Transform Network for Modulation Recognition in 5G Industrial Cognitive Communications Considering Nonlinear Impairments in Active Phased Arrays
Distribution Network Fault Location Method Based on Wide Scale Time Window Difference Operator
Modeling, Sensitivity Analysis, and Controller Synthesis of Multipickup Bidirectional Inductive Power Transfer Systems
Semisupervised Kernel Learning for FDA Model and its Application for Fault Classification in Industrial Processes
An Adaptive Continual Learning Method for Nonstationary Industrial Time Series Prediction
A Supervised ML Biometric Continuous Authentication System for Industry 4.0
Event-Triggered Adaptive Finite-Time Control for Active Suspension Systems With Prescribed Performance
Microsecond-Level Synchronization Solution for Grid-Edge Devices Utilizing Cellular Networks in GNSS-Challenged Areas
An Intelligent Multisampling Tensor Model for Oral Cancer Classification
Investigating the Impact of Load Profile Attributes on Demand Response Exchange
Energy-Efficient Industrial Internet of UAVs for Power Line Inspection in Smart Grid
Color Holographic Wavefront Printing Technique for Realistic Representation
Binary Division Power Models for High-Level Power Estimation of FPGA-Based DSP Circuits
A Distributed Robust Economic Dispatch Strategy for Integrated Energy System Considering Cyber-Attacks
Optimized Sliding Mode Control to Maximize Existence Region for Single-Phase Dynamic Voltage Restorers
Object Shape Error Response Using Bayesian 3-D Convolutional Neural Networks for Assembly Systems With Compliant Parts
Memristor-Based Reward and Punishment Neural Network Circuit With Approach and Inhibition and Its Application in Industrial Vehicle Autonomous Navigation
Large-Scale Cross-Modal Ranked Search in Secure Intelligent Computing
Modeling and Monitoring Between-Mode Transition of Multimodes Processes
Disturbance Observer-Based Adaptive Neural Control of the Permanent Magnet Linear Motor System With Unknown Backlash-Like Hysteresis
An Online Anomaly Monitoring Method Based on Multiscale Spatiotemporal Graph Learning for Wind Turbine
Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks
Deep Wavelet Neural Process: Modeling Stochastic Variation of Non-Euclidean Functional Data for Manufacturing Quality Inference
Domain Discrepancy-Guided Contrastive Feature Learning for Few-Shot Industrial Fault Diagnosis Under Variable Working Conditions
Model Predictive Flux Control of Semicontrolled Open-Winding PMSG With Circulating Current Elimination
Comments on "Bridging Service-Oriented Architecture and IEC 61499 for Flexibility and Interoperability"
An Efficient and Robust Complex Weld Seam Feature Point Extraction Method for Seam Tracking and Posture Adjustment
Development and Control of a Flying Ejector-Pin System With Local Gain-Scheduling ILC Scheme
A Kaiser Window-Based S-Transform for Time-Frequency Analysis of Power Quality Signals
PDM: Privacy-Aware Deployment of Machine-Learning Applications for Industrial Cyber-Physical Cloud Systems
Energy Optimization of Robotic Cells
Terahertz High-Contrast Imaging for Delamination Detection in Ultralayered Composites Based on Local Symmetry
Internal Model Based Cooperative Robust Resilient Control Under DoS Attacks With Application to Vehicles Formation
Energy-Efficient Industrial Internet of Things: Overview and Open Issues
Battery-Wear-Model-Based Energy Trading in Electric Vehicles: A Naive Auction Model and a Market Analysis
A Novel Cooperative Navigation Method Applied to Single-Leader Mode With Insufficient Observation Information
A Robust ADMM-Enabled Optimization Framework for Decentralized Coordination of Microgrids
Intrusion Detection System Based on In-Depth Understandings of Industrial Control Logic
SC-RPL: A Social Cognitive Routing for Communications in Industrial Internet of Things
Distributed Deployment Strategies for Improved Coverage in a Network of Mobile Sensors With Prioritized Sensing Field
Secure Fully Distributed Event-Triggered Consensus of Multi-Agent Systems Against Distributed Sequential Scaling Attacks
Distributed Nonconvex Event-Triggered Optimization Over Time-Varying Directed Networks
Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q-Learning Technique
A Novel Ensemble ELM for Human Activity Recognition Using Smartphone Sensors
A Trustworthy, Reliable, and Lightweight Privacy and Data Integrity Approach for the Internet of Things
Semisupervised Momentum Prototype Network for Gearbox Fault Diagnosis Under Limited Labeled Samples
A Secure FaBric Blockchain-Based Data Transmission Technique for Industrial Internet-of-Things
Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs
Value-Oriented Data-Driven Approach for Electrical Load Forecasting Apt to Facilitate Vehicle-to-Grid Scheduling
Learning Algorithm-Based Offset-Free One-Step Time-Delay Compensation for Power Converter and Motor Drive System Applications
Analysis of a Software-Focused Products and Service Supply Chain
Wind Farm Power Generation Control Via Double-Network-Based Deep Reinforcement Learning
End-to-End Reliability-Aware Scheduling for Wireless Sensor Networks
An Effort-Based Reward Approach for Allocating Load Shedding Amount in Networked Microgrids Using Multiagent System
An Automated Learning Method of Semantic Segmentation for Train Autonomous Driving Environment Understanding
Multiobservation-Multichannel-Attribute-Based Multiuser Authentication for Industrial Wireless Edge Networks
Compliance Checking for Requirement-Oriented Service Workflow Interoperations
Grid Resynchronization and Islanding Controls in Hydrogen-Based PV Battery Energy Systems for Hybrid EV Charging Station
Corrections to "On the Feasibility of Wireless Communications for Safety Applications in Industry"
Parallel Operation of Transformer-Based Improved Z-Source Inverter With High Boost and Interleaved Control
Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning
Optimal Operation of Grid-Tied Energy Storage Systems Considering Detailed Device-Level Battery Models
CAFA: Cross-Modal Attentive Feature Alignment for Cross-Domain Urban Scene Segmentation
Smart Anomaly Prediction in Nonstationary CT Colonography Screening
Rolling Mill Cycloconverter Condition Assessment by Harmonic Current via Time-Frequency Signature
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated With Bootstrap for Industrial Process Fault Diagnosis
Fault-Tolerant Sun-Pointing Attitude Control Based on Physics-Guided Neural Networks
Internet of Things and BOM-Based Life Cycle Assessment of Energy-Saving and Emission-Reduction of Products
Improving Performance of Disturbance Rejection for Nonlinear Systems Using Improved Equivalent-Input-Disturbance Approach
On the Role of Communications Plane in Distributed Optimization of Power Systems
A Security-Enhanced Authentication and Key Agreement Protocol in Smart Grid
Optimal Decision Making for Big Data Processing at Edge-Cloud Environment: An SDN Perspective
Gated Dual Attention Unit Neural Networks for Remaining Useful Life Prediction of Rolling Bearings
Ex Situ Sensing Method for the End-Effector's Six-Dimensional Force and Link's Contact Force of Cable-Driven Redundant Manipulators
Subpixel Vision Measurement Method for Rectangular-Pin SMDs Based on Asymmetric Gaussian Gradient Edge Profile
Multisensor Fusion and Integration: A Review on Approaches and Its Applications in Mechatronics
Data-Driven Game-Based Pricing for Sharing Rooftop Photovoltaic Generation and Energy Storage in the Residential Building Cluster Under Uncertainties
Personalized Symmetrical and Asymmetrical Gait Generation of a Lower Limb Exoskeleton
An Adaptive Machine Learning Framework for Behind-the-Meter Load/PV Disaggregation
Distributed Kalman-Like Filtering and Bad Data Detection in the Large-Scale Power System
Autonomous Power Management With Double-Q Reinforcement Learning Method
A Seamless Enhancing Grid Stiffness Control Strategy for Harmonic Compensation and Power Ripple Mitigation in Grid-Tied Virtual Synchronous Generator System
Domain-Knowledge-Driven Intelligent Attribute Definition for Zero-Shot Fault Diagnosis of Bearings
Data-Driven Dynamic Event-Triggered Fault-Tolerant Platooning Control
Maximizing UAV Tasks Computation Quality in Energy Harvesting IIoT
Load Frequency Control of Multiarea Interconnected Power System Based on Distributed Economic Model Predictive Control With Guaranteed Stability
MAG: A Novel Approach for Effective Anomaly Detection in Spacecraft Telemetry Data
Defending Against False Data Injection Attacks on Power System State Estimation
Distributed Adaptive State Estimation for CPSs Under Deception Attacks
Transmitter Coils Design for Free-Positioning Omnidirectional Wireless Power Transfer System
An Open-Set Faults Diagnosis Method for Bogie Mechanical Transmission Components Based on Multi-Channel Feature-Enhanced Placeholder Learning
Reinforcement Learning-Based Distributed Robust Bipartite Consensus Control for Multispacecraft Systems With Dynamic Uncertainties
Trustworthiness of Process Monitoring in IIoT Based on Self-Weighted Dictionary Learning
Massive MIMO With Downlink Energy Efficiency Operation in Industrial Internet of Things
Adaptive Robust Constrained Motion Control of an Independent Metering Electro-Hydraulic System Considering Kinematic and Dynamic Constraints
Linear and Nonlinear Fault Location in Smart Distribution Network Under Line Parameter Uncertainty
Analysis and Experimental Validation of Current-Fed Switched Capacitor-Based Modular DC Transformer
Full-Digital AC-DC Converter With PFC Based on Counting
Time Synchronization Algorithm for Networked Control Systems Based on Stochastic Search
Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT
Alias-Free Digital Click Modulator
Robust Mixed $H_{2}$/$H_{\infty }$ Model Predictive Control for Cyber-Physical Systems With Input Saturation and Energy-Bounded Disturbance
GrainBrain: Multiview Identification and Stratification of Defective Grain Kernels
Intelligent Embedded Vision for Summarization of Multiview Videos in IIoT
Industrial, Residential, and Commercial Demands Relationship With Load Components in Reconfigurable Distribution Grids
A Data-Driven Variable-Gain Control Strategy for an Ultra-Precision Wafer Stage With Accelerated Iterative Parameter Tuning
Predictive Torque Control of Induction Motor Sensorless Drive Fed by a 3L-NPC Inverter
Ontology-Based Modeling of Control Logic in Building Automation Systems
A Coordinated Communication Scheme for Distributed Fault Tolerant Control
Comparative Study of Energy-Efficient Sampling Approaches for Wireless Control Networks
UAV-Enhanced Intelligent Offloading for Internet of Things at the Edge
Access Control Framework for Cross-Platform Interoperability in the Industrial Internet of Things
Toward Energy-Awareness Smart Building: Discover the Fingerprint of Your Electrical Appliances
Beamforming Design of IRS-Assisted SWIPT System Based on Deep Reinforcement Learning
Guest Editorial: Special Section on Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0
Security Monitoring of IEC 61850 Substations Using IEC 62351-7 Network and System Management
Coordinating Urban Power-Traffic Networks: A Subsidy-Based Nash-Stackelberg-Nash Game Model
FHCPL: An Intelligent Fixed-Horizon Constrained Policy Learning System for Risk-Sensitive Industrial Scenario
Complex Dynamic Slow Independent Symbol Aggregation Approximation for Multimodal Temporal Fuzzy Cognitive Map
Intelligent Fault Detection for Rotating Machinery Using Cyclic Morphological Modulation Spectrum and Hierarchical Teager Permutation Entropy
Generation Expansion Planning Considering Discrete Storage Model and Renewable Energy Uncertainty: A Bi-Interval Optimization Approach
Securing Facial Bioinformation by Eliminating Adversarial Perturbations
Unsupervised Diagnostic and Monitoring of Defects Using Waveguide Imaging With Adaptive Sparse Representation
DIP-QL: A Novel Reinforcement Learning Method for Constrained Industrial Systems
A Dynamic Process Adjustment Method Based on Residual Prediction for Quality Improvement
A Temporally Irreversible Visual Attention Model Inspired by Motion Sensitive Neurons
An Improved Iterative FIR State Estimator and Its Applications
A Cost-Effective Single Architecture to Operate DC Microgrid Interfaced DFIG Wind System During Grid-Connected, Fault, and Isolated Conditions
Blockchain-Based Network Slice Broker to Facilitate Factory-As-a-Service
Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis
Yaw-Guided Trajectory Tracking Control of an Asymmetric Underactuated Surface Vehicle
A Portable Tracking System Based on Discrete Matrix Information Code for Prevention of Fleeing Goods
Using Cognitive Radio for Interference-Resistant Industrial Wireless Sensor Networks: An Overview
Energy-Efficient Resource Allocation for Cognitive Industrial Internet of Things With Wireless Energy Harvesting
Resource Allocation in Free-Choice Multiple Reentrant Manufacturing Systems Based on Machine-Job Incidence Matrix
Distributed Cyber Resilient Control Strategy for Remote DC Microgrids Under Integrated Satellite Terrestrial Networks
Adaptive Event-Triggered Sliding Mode Load Frequency Control for Cyber-Physical Power Systems Under False Data Injection Attacks
Optimized Operation Framework of Distributed Thermal Storage Aggregators in the Electricity Spot Market
Multiview Uncertainty-Aware Fusion for Human Activity Recognition via Dempster-Shafer Theory
Analytical Expression of the Mirror Coefficient by Joint Analytical Calculation Method
Online Probabilistic Extreme Learning Machine for Distribution Modeling of Complex Batch Forging Processes
Modeling Noncooperative Game of GENCOs' Participation in Electricity Markets With Prospect Theory
TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT
VBSFL: A Robust Blockchained Split-Fed Learning Model for Secured Distributed Learning
Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints
Nonorthogonal Interleave-Grid Multiple Access Scheme for Industrial Internet of Things in 5G Network
A Miniaturized Active Thermography System to Inspect Composite Laminates
Learning Hierarchical Spatial-Temporal Graph Representations for Robust Multivariate Industrial Anomaly Detection
An Event-Based Simulation Framework to Examine the Response of Power Grid to the Charging Demand of Plug-In Hybrid Electric Vehicles
Continuous Feature Reconstruction-Based Spatiotemporal Modeling of Distributed Thermal Processes Under Limited Sensing
Real-Time Anomaly Detection of NoSQL Systems Based on Resource Usage Monitoring
Federated Tensor Decomposition-Based Feature Extraction Approach for Industrial IoT
Efficient Visual Fault Detection for Freight Train via Neural Architecture Search With Data Volume Robustness
Improving Rate-of-Penetration and Reducing State Fluctuation of Drill-String System Based on Multiobjective Optimization
MagicInput: Virtual Handwriting Interface Using Ubiquitous WiFi Signals
Resilient and Adaptive Power Integrator and Despatcher
A Multilevel Attitude-Aware Denoising Network for Bearing Fault Diagnosis
Efficient Secure Inference Scheme in Multiparty Settings for Industrial Internet of Things
A Deep Supervised Learning Framework Based on Kernel Partial Least Squares for Industrial Soft Sensing
A Low-Carbon Economic Dispatch Method for Power Systems With Carbon Capture Plants Based on Safe Reinforcement Learning
Distributed Collaborative Control of Redundant Robots Under Weight-Unbalanced Directed Graphs
Intelligent Optimal Recurrent Wavelet Elman Neural Network Control System for Permanent-Magnet Synchronous Motor Servo Drive
Physics-Informed Deep Learning for Tool Wear Monitoring
Disassembly Sequence Planning of Product Structure With an Improved QICA Considering Expert Consensus for Remanufacturing
A Time-Driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing
Integrating Renewable Energy Resources Into the Smart Grid: Recent Developments in Information and Communication Technologies
Analysis of Model Free Predictors for Interface Signal Delay Compensation in Real-Time Cosimulation
An Efficient YOLOv8-Based Model With Cross-Level Path Aggregation Enabling Personal Protective Equipment Detection
Collaborative Energy Management Optimization Toward a Green Energy Local Area Network
Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanism
Prediction of Human Activity Patterns for Human-Robot Collaborative Assembly Tasks
SSR-HEF: Crowd Counting With Multiscale Semantic Refining and Hard Example Focusing
Trajectory Tracking Control of AUVs via Adaptive Fast Nonsingular Integral Terminal Sliding Mode Control
A Machine Learning Framework for Rapidly Identifying and Predicting Mechanical Properties of Interconnected Layer in SiC Module Considering Surface Metallization Effect Under High-Temperature Aging
Component Detection for Power Line Inspection Using a Graph-Based Relation Guiding Network
Progression and Evaluation of a Camera-Based Measurement System for Multifuel Burners Under Industrial Process Conditions
A Label-Efficient Semi Self-Supervised Learning Framework for IoT Devices in Industrial Process
A Deep Learning Framework for Tactile Recognition of Known as Well as Novel Objects
AFARN: Domain Adaptation for Intelligent Cross-Domain Bearing Fault Diagnosis in Nuclear Circulating Water Pump
Adaptive Dendritic Cell-Deep Learning Approach for Industrial Prognosis Under Changing Conditions
ZS-SBPRnet: A Zero-Shot Sketch-Based Point Cloud Retrieval Network Based on Feature Projection and Cross-Reconstruction
IoT System for Pellet Proportioning Based on BAS Intelligent Recommendation Model