yusuke1997/dblp-id-title huggingface dataset:
Frequency-Domain Anomaly Detection for Encrypted Traffic in Industrial Control Systems
Robust Terminal Recurrent Neural Network for Finding Exact Solution of the TVQP Problem With Various Noises
A Multilayer Deep Learning Approach for Malware Classification in 5G-Enabled IIoT
Secure and Efficient Federated Learning for Smart Grid With Edge-Cloud Collaboration
Decentralized Control of Solid Oxide Fuel Cells
Fractional-Order Prescribed Performance Sliding-Mode Control With Time-Delay Estimation for Wearable Exoskeletons
Optical Measurement of Highly Reflective Surfaces From a Single Exposure
A New Technique for Simultaneous Load Current Sharing and Voltage Regulation in DC Microgrids
A Remedial Action Scheme Against False Data Injection Cyberattacks in Smart Transmission Systems: Application of Thyristor-Controlled Series Capacitor (TCSC)
Fast Analytical Model Predictive Controllers and Their Implementation for STM32 ARM Microcontroller
Feature-Ensemble Model With an Adaptive Self-Ensemble Module for Feed-Grade Monitoring in Froth Flotation
Guest Editorial: Federated Learning for Industrial IoT in Industry 4.0
Cognitive Packet Network for Bilateral Asymmetric Connections
Collaborative Dictionary Learning for Compressed Sensing
A Novel Feature Fusion Framework for Industrial Automation Single-Multiple Object Detection
EduChain: CIA-Compliant Blockchain for Intelligent Cyber Defense of Microservices in Education Industry 4.0
Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting
A Proof-of-Authority Blockchain-Based Distributed Control System for Islanded Microgrids
DC-Biased Magnetization Based Eddy Current Thermography for Subsurface Defect Detection
Multiple Time Scale Cooperation Optimization of Regional Multienergy Systems Based on Distributed Model Predictive Control
Partial Discharge Data Augmentation Based on Improved Wasserstein Generative Adversarial Network With Gradient Penalty
A Real-Time Edge Scheduling and Adjustment Framework for Highly Customizable Factories
Deep Autoencoder Thermography for Defect Detection of Carbon Fiber Composites
RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables
A Reliability Comparison Method for OSINT Validity Analysis
A Semi-Supervised Matrixized Graph Embedding Machine for Roller Bearing Fault Diagnosis Under Few-Labeled Samples
Profit and Penalty Aware Scheduling for Real-Time Online Services
Electric Power Fuse Identification With Deep Learning
Attribute-Aware Graph Recurrent Networks for Scholarly Friend Recommendation Based on Internet of Scholars in Scholarly Big Data
Enhanced Third Order Generalized Integrator-Based Seamless Control for Grid-Tied PV-Battery System
Hiding Face Into Background: A Proactive Countermeasure Against Malicious Face Swapping
A Robust Time Synchronization Scheme for Industrial Internet of Things
Analysis and Evaluation of MQTT Brokers for e-Healthcare Applications
Integrating Expert and Physics Knowledge for Modeling Heat Load in District Heating Systems
Historical Data-Based Stealthy Attack Design on Cyber-Physical Systems Under Kullback-Leibler Divergence
Multidimensional Attention Domain Adaptive Method Incorporating Degradation Prior for Machine Remaining Useful Life Prediction
TransCLIP: Transferring Vision-Language Models for Efficient Video Action Recognition
A Novel Two-Stage Unsupervised Fault Recognition Framework Combining Feature Extraction and Fuzzy Clustering for Collaborative AIoT
Dynamic Latent Feature Guidance for Few-Shot Object Detection
Selective Harmonic Elimination With Optimal DC Sources in Multilevel Inverters Using Generalized Pattern Search
Distributed LSTM-GCN-Based Spatial-Temporal Indoor Temperature Prediction in Multizone Buildings
AdaPipe: A Recommender System for Adaptive Computation Pipelines in Cyber-Manufacturing Computation Services
Optimized Positional Compensation Parameters for Exposure Machine for Flexible Printed Circuit Board
Multiobjective Optimization of Energy-Efficient JOB-Shop Scheduling With Dynamic Reference Point-Based Fuzzy Relative Entropy
Lightweight Searchable Public-Key Encryption for Cloud-Assisted Wireless Sensor Networks
Plant-Wide Process Fine-Scale Monitoring via Distributed Static Magnitude-Dynamic Difference
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction
The GMPLS Controlled Optical Networks as Industry Communication Platform
Optimal Deployment of Fog-Based Solution for Connected Devices in Smart Factory
Multi-Agent Approach for Enhancing Security of Protection Schemes in Cyber-Physical Energy Systems
Multiview Learning for Subsurface Defect Detection in Composite Products: A Challenge on Thermographic Data Analysis
Voltage Vector Approximation Control of Multistage - Multilevel Inverter Using Simplified Logic Implementation
Modeling and Mitigation of Resonance Current for Modified LCL-Type Parallel Inverters With Inverter-Side Current Control
QoS-Guarantee Resource Allocation for Multibeam Satellite Industrial Internet of Things With NOMA
Minimum Bandwidth Reservation for CBS in TSN With Real-Time QoS Guarantees
Distributed Time-Varying Nash Equilibrium Seeking Algorithm for Target Protection of MultiUSVs With Conflicting Goals
Toward Efficient Power Scene Detection via Topology-Preserved Knowledge Distillation
Long/Short-Term Utility Aware Optimal Selection of Manufacturing Service Composition Toward Industrial Internet Platforms
AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading
An NDN IoT Content Distribution Model With Network Coding Enhanced Forwarding Strategy for 5G
A Generalized Framework for Optimal Sizing of Distributed Energy Resources in Micro-Grids Using an Indicator-Based Swarm Approach
Recycled and Remarked Counterfeit Integrated Circuit Detection by Image-Processing-Based Package Texture and Indent Analysis
QoS-aware Real-Time Composition Algorithms for Service-Based Applications
Identification of Errors-in-Variable System With Heteroscedastic Noise and Partially Known Input Using Variational Bayesian
HealthDep: An Efficient and Secure Deduplication Scheme for Cloud-Assisted eHealth Systems
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting
Leveraging Analysis of User Behavior to Identify Malicious Activities in Large-Scale Social Networks
Estimating Nodal Admittance Matrix for Ill-Posed Inverse Power Flow Problem in Power Grid
Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes
Parameter Identification of Power Distribution System Based on Dynamic Graph Topology
An Architecture for Using Autonomous Underwater Vehicles in Wireless Sensor Networks for Underwater Pipeline Monitoring
Interactive Incremental Defect Detection Framework With Macroprobability-Controlled Adaptive Learning
Design, Analysis, and Test of a Novel Self-Sensing Fast Tool Servo
Modeling Distributed Transportation Systems Composed of Flexible Automated Guided Vehicles in Flexible Manufacturing Systems
Optimal Dispatch of Electric Vehicles and Wind Power Using Enhanced Particle Swarm Optimization
Unified Neural Adaptive Control for Multiple Human-Robot-Environment Interactions
Dynamic Estimation Over Distributed Sensing Network With Communication Delays
FedFOC: Personalized Federated Learning via Fine-Grained One-Shot Clustering
Software-Based Control Flow Checking Against Transient Faults in Industrial Environments
A Rule-Based Approach Founded on Description Logics for Industry 4.0 Smart Factories
Improving Fault Tolerance in High-Precision Clock Synchronization
A Function Approximator Model for Robust Online Foot Angle Trajectory Prediction Using a Single IMU Sensor: Implication for Controlling Active Prosthetic Feet
Multimodel Approach to Robust Identification of Multiple-Input Single-Output Nonlinear Time-Delay Systems
Nonorthogonal Replication Scheme for ALOHA Uplink in LPWAN
Intelligent Traffic Control System Based on Cloud Computing and Big Data Mining
GCN2CDD: A Commercial District Discovery Framework via Embedding Space Clustering on Graph Convolution Networks
A Meta-learning Based Multimodal Neural Network for Multistep Ahead Battery Thermal Runaway Forecasting
Development of a Wearable Sensing Glove for Measuring the Motion of Fingers Using Linear Potentiometers and Flexible Wires
Predictive Current Control Methods With Reduced Current Errors and Ripples for Single-Phase Voltage Source Inverters
RGB-D Crowd Counting With Cross-Modal Cycle-Attention Fusion and Fine-Coarse Supervision
A Customized Evolutionary Algorithm for Multiobjective Management of Residential Energy Resources
A Graph Neural Network-Based Digital Twin for Network Slicing Management
Analysis of Ethernet Powerlink Wireless Extensions Based on the IEEE 802.11 WLAN
Adaptive Consensus-Based Robust Strategy for Economic Dispatch of Smart Grids Subject to Communication Uncertainties
Power Quality Event Classification Under Noisy Conditions Using EMD-Based De-Noising Techniques
Adaptive, Optimal, Virtual Synchronous Generator Control of Three-Phase Grid-Connected Inverters Under Different Grid Conditions - An Adaptive Dynamic Programming Approach
Cooperative Fuzzy-Neural Control for Wastewater Treatment Process
Supervised Variational Autoencoders for Soft Sensor Modeling With Missing Data
Secondary Saliency Tracking-Based Sensorless Control for Concentrated Winding SPMSM
Toward a Web-Based Digital Twin Thermal Power Plant
Evaluating Electric Vehicles' Response Time to Regulation Signals in Smart Grids
Multichannel Cross-Modal Fusion Network for Multimodal Sentiment Analysis Considering Language Information Enhancement
A Pattern Mining-Based False Data Injection Attack Detector for Industrial Cyber-Physical Systems
Magnum: A Distributed Framework for Enabling Transfer Learning in B5G-Enabled Industrial IoT
Hybrid PLC and LoRaWAN Smart Metering Networks: Modeling and Optimization
Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors
Multilevel Similarity-Aware Deep Metric Learning for Fine-Grained Image Retrieval
Improving the size of communication buffers in synchronous models with time constraints
Federated Reinforcement Learning-Based Resource Allocation for D2D-Aided Digital Twin Edge Networks in 6G Industrial IoT
Unsymmetrical Per-Phase Control for Reactive Power-Sharing Enhancement in Unbalanced Islanded Microgrids
GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT
Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control
Localization-Based Radio Model Calibration for Fault-Tolerant Wireless Mesh Networks
Monitoring Traffic Optimization in a Smart Grid
SynergyChain: Blockchain-Assisted Adaptive Cyber-Physical P2P Energy Trading
Hybrid Keyword-Field Search With Efficient Key Management for Industrial Internet of Things
High-Level Synthesis for Accelerating the FPGA Implementation of Computationally Demanding Control Algorithms for Power Converters
Cybertwin-Driven Resource Provisioning for IoE Applications at 6G-Enabled Edge Networks
AcoPalm: Acoustical Palmprint-Based Noncontact Identity Authentication
Scalable Healthcare Assessment for Diabetic Patients Using Deep Learning on Multiple GPUs
Feature Distillation-Based Uniformity Few-Shot Domain Adaptation for Cross-Domain Fault Diagnosis With Sample Shortage
Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
Distributed 3-D Time-Varying Formation Control of Underactuated AUVs With Communication Delays Based on Data-Driven State Predictor
Distributed Topology Inference for Electric Power Grids
To Transmit or Predict: An Efficient Industrial Data Transmission Scheme With Deep Learning and Cloud-Edge Collaboration
Real-Time Adaptive Parameter Estimation for a Polymer Electrolyte Membrane Fuel Cell
Intelligent Proactive Maintenance System for High-Speed Railway Traction Power Supply System
Virtual Unmodeled Dynamics Robust Predictive Control With Time-Delay Compensation for Automobile Air Conditioning Process
New Discretized Zeroing Neural Network Models for Solving Future System of Bounded Inequalities and Nonlinear Equations Aided With General Explicit Linear Four-Step Rule
An Integrated Design Scheme for SKR-Based Data-Driven Dynamic Fault Detection Systems
A Novel Data Integrity Attack on Consensus-Based Distributed Energy Management Algorithm Using Local Information
A Distributed Instrument for Performance Analysis of Real-Time Ethernet Networks
Hybrid Scheduling of Tasks and Messages for TSN-Based Avionics Systems
PPMA: Privacy-Preserving Multisubset Data Aggregation in Smart Grid
Blockchain-Based Federated Learning With Secure Aggregation in Trusted Execution Environment for Internet-of-Things
Guest Editorial Special Section on Energy Informatics for Green Cities
A Real-Time Heterogeneous Emulator of a High-Fidelity Utility-Scale Variable-Speed Variable-Pitch Wind Turbine
Distributed Compressive Sampling for Lifetime Optimization in Dense Wireless Sensor Networks
Combined Data Rate and Energy Management in Harvesting Enabled Tactile IoT Sensing Devices
A Human-Robot Collaboration Method Using a Pose Estimation Network for Robot Learning of Assembly Manipulation Trajectories From Demonstration Videos
A Two-Stage Scheme for Both Power Allocation and EV Charging Coordination in a Grid-Tied PV-Battery Charging Station
Running Industrial Workflow Applications in a Software-Defined Multicloud Environment Using Green Energy Aware Scheduling Algorithm
Mixture of Experts of Neural Networks and Kalman Filters for Optical Belt Sorting
TRUTH: Trust and Authentication Scheme in 5G-IIoT
Time-Varying Group Formation Tracking for Multiagent Systems With Competition and Cooperation via Distributed Nash Equilibrium Seeking
Online Remaining Useful Life Prediction of Milling Cutters Based on Multisource Data and Feature Learning
Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT
Facilitating URLLC in UAV-Assisted Relay Systems With Multiple-Mobile Robots for 6G Networks: A Prospective of Agriculture 4.0
The Dynamic Merge Control for Virtual Coupling Trains Based on Prescribed Performance Control
Rapid and High-Resolution Detection of Urban Underground Space Using Transient Electromagnetic Method
An Efficient Subcycle Alternative to Instantaneous Power Metrics
Adaptive Neural Trajectory Tracking Control for n-DOF Robotic Manipulators With State Constraints
Visual-Impedance-Based Human-Robot Cotransportation With a Tethered Aerial Vehicle
Optimal Investment for Retail Company in Electricity Market
Probabilistic Weighted Copula Regression Model With Adaptive Sample Selection Strategy for Complex Industrial Processes
Server-Aided Attribute-Based Signature With Revocation for Resource-Constrained Industrial-Internet-of-Things Devices
Spearman Correlation-Based Pilot Protection for Transmission Line Connected to PMSGs and DFIGs
Simultaneous Localization and Mapping-Based In Vivo Navigation Control of Microparticles
Temporal Tensor Local Binary Pattern: A Novel Local Tensor Time Series Descriptor
Variable Structure Systems With Sliding Modes in Motion Control - A Survey
Digital Twin-Driven Robotic Disassembly Sequence Dynamic Planning Under Uncertain Missing Condition
Optimal Controller for Uncertain Stochastic Linear Systems With Poisson Noises
Personalized Federated Learning for Green Industrial IoT
A Cooperative Charging Control Strategy for Electric Vehicles Based on Multiagent Deep Reinforcement Learning
FPGA-Based Design for Real-Time Crack Detection Based on Particle Filter
Profile Abstract: An Optimization-Based Subset Selection and Summarization Method for Profile Data Mining
Domain Transferability-Based Deep Domain Generalization Method Towards Actual Fault Diagnosis Scenarios
Robotic Disassembly Task Training and Skill Transfer Using Reinforcement Learning
End-Edge-Cloud Collaboration-Based False Data Injection Attack Detection in Distribution Networks
Two-Stage Optimal Operation Strategy of Isolated Microgrid With TSK Fuzzy Identification of Supply Security
Optimal Operation of Multimicrogrids via Cooperative Energy and Reserve Scheduling
Real-Time Defect Detection of Die Cast Rotor in Induction Motor Based on Circular Flux Sensing Coils
A Novel Quantitative Risk Assessment Model for Industrial Control Systems Integrating the Cyber-Physical Domain
Vulnerability Assessments of Electric Drive Systems Due to Sensor Data Integrity Attacks
Real-Time Optimized Path Planning and Energy Consumption for Data Collection in Unmanned Ariel Vehicles-Aided Intelligent Wireless Sensing
UAV Stocktaking Task-Planning for Industrial Warehouses Based on the Improved Hybrid Differential Evolution Algorithm
A Fault Diagnosis Method for Rotating Machinery Based on CNN With Mixed Information
Predicting Large-Scale Urban Network Dynamics With Energy-Informed Graph Neural Diffusion
Probabilistic Sequential Network for Deep Learning of Complex Process Data and Soft Sensor Application
Event-Triggered Output-Feedback Stabilization With Prescribed Convergence Rate
Input-Output Data-Based Output Antisynchronization Control of Multiagent Systems Using Reinforcement Learning Approach
Lifetime Reliability Aware Distributed Estimation and Communication Co-Design for IIoT Systems
In-Place Traceability for Automated Production Systems: A Survey of PLC and SysML Tools
Deep Learning-Based Cloud-Edge Collaboration Framework for Remaining Useful Life Prediction of Machinery
Collaborative Deployment and Routing of Industrial Microservices in Smart Factories
Progressive Complementary Knowledge Aggregation for CdZnTe Defect Segmentation
VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling
Condition Recognition Strategy Based on Fuzzy Clustering With Information Granulation for Blast Furnace
Energy-Optimal Dynamic Thermal Management: Computation and Cooling Power Co-Optimization
A Fast Density and Grid Based Clustering Method for Data With Arbitrary Shapes and Noise
Joint Alignment and Simultaneous Insertion of Multiple Objects in Precision Assembly
Model-Predictive Direct Power Control With Vector Preselection Technique for Highly Efficient Active Rectifiers
Cyber Vulnerability Intelligence for Internet of Things Binary
An Active Control Method for Chatter Suppression in Thin Plate Turning
Vulnerability Assessments of Induction Machine-Based Multistage Rolling Mill System Under Sensor Integrity Attacks
A Scalable Energy Management Mechanism for Peer-to-Peer Electricity Market
Controller-Based Periodic Disturbance Mitigation Techniques for Three-Phase Two-Level Voltage-Source Converters
A Secure High-Order CFS Algorithm on Clouds for Industrial Internet of Things
Testing Context-Aware Software Systems From the Voices of the Automotive Industry
Dynamic Feedback Antiswing Control of Shipboard Cranes Without Velocity Measurement: Theory and Hardware Experiments
Similarity Makes Difference: SSHTN for Generalized Zero-Shot Industrial Fault Diagnosis by Leveraging Auxiliary Set
A Distribution Market Clearing Mechanism for Renewable Generation Units With Zero Marginal Costs
Optimal Steady-State Voltage Control Using Gaussian Process Learning
Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application
A Multiobjective GI-Based Control for Effective Operation of PV Pumping System Under Abnormal Grid Conditions
Making the Most of Sporadic Feedback: Low-Complexity Application Layer Coding for Data Recovery in the Internet of Things
Robust Diagnosis of Rolling Element Bearings Based on Classification Techniques
An Information Security Method Based on Optimized High-Fidelity Reversible Data Hiding
A Comprehensive Investigation of Wireless LAN for IEC 61850-Based Smart Distribution Substation Applications
A Self-Tuning Cyber-Attacks' Location Identification Approach for Critical Infrastructures
Transition Permutation Entropy and Transition Dissimilarity Measure: Efficient Tools for Fault Detection of Railway Vehicle Systems
A Probabilistic Model to Predict the Survivability of SCADA Systems
Enhancing Local-Global Representation Learning for Image Restoration
On-the-Fly Autonomous Slot Allocation in 6TiSCH-Based Industrial IoT Networks
Artificial Intelligence for Detection, Estimation, and Compensation of Malicious Attacks in Nonlinear Cyber-Physical Systems and Industrial IoT
Imbalance Learning Machine-Based Power System Short-Term Voltage Stability Assessment
Uncertain Interval-Based Risk Dispatch Approach of Power Systems Under an Unified Framework of Multiple Uncertainties
l p -norms in One-Class Classification for Intrusion Detection in SCADA Systems
Active Fault Diagnosis for Stochastic Systems: A Unified Design With Optimal Control
Intelligent Transient Overvoltages Location in Distribution Systems Using Wavelet Packet Decomposition and General Regression Neural Networks
BE-TRDSS: Blockchain-Enabled Secure and Efficient Traceable-Revocable Data-Sharing Scheme in Industrial Internet of Things
Time-Domain Backup Protection for Converter Dominated Hybrid AC-DC Microgrids
Self-Adaptive Semantic Focused Crawler for Mining Services Information Discovery
Digital Control of a Shunt Hybrid Power Filter Adopting a Nonlinear Control Approach
Probabilistic Stationary Subspace Analysis for Monitoring Nonstationary Industrial Processes With Uncertainty
A Composite Failure Precursor for Condition Monitoring and Remaining Useful Life Prediction of Discrete Power Devices
A Distributed Time-Varying Inherent Privacy-Preserving Consensus Algorithm for Integrated Energy Systems
A Control Theory Informed Machine Learning-Based Modeling and Monitoring of Nanoparticle Generation Processes
Neural Network Learning Adaptive Robust Control of an Industrial Linear Motor-Driven Stage With Disturbance Rejection Ability
A Frequency Control Strategy for EV Stations Based on MPC-VSG in Islanded Microgrids
Integrated and Accountable Data Sharing for Smart Grids With Fog and Dual-Blockchain Assistance
Dynamic Job-Shop Scheduling via Graph Attention Networks and Deep Reinforcement Learning
Nonlinear Noncausal Optimal Control of Wave Energy Converters Via Approximate Dynamic Programming
Vector-Based Synchronization Method for Grid Integration of Solar PV-Battery System
How to Access Factory Floor Information Using Internet Technologies and Gateways
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things
High-Order Robust Discrete-Time Neural Dynamics for Time-Varying Multilinear Tensor Equation With $\mathcal {M}$-Tensor
SeqESR-GAN-Based Sparse Data Augmentation for Distribution Networks
Hardware Efficient Clock Synchronization Across Wi-Fi and Ethernet-Based Network Using PTP
TDMA Versus CSMA/CA for Wireless Multihop Communications: A Stochastic Worst-Case Delay Analysis
WSN Design and Verification Using On-Board Executable Specifications
Scalability Analysis of a LoRa Network Under Imperfect Orthogonality
Mutual Information-Guided Multiobjective Learning Framework for Augmenting Incomplete Mechanism Models With Neural Networks
Ultrafast High-Resolution Solar Cell Cracks Detection Process
Event-Triggered Multiobjective Control and Fault Diagnosis: A Unified Framework
Certificateless Public Key Authenticated Encryption With Keyword Search for Industrial Internet of Things
An Efficient Model-Free Approach for Controlling Large-Scale Canals via Hierarchical Reinforcement Learning
A Fast Nearest Neighbor Search Scheme Over Outsourced Encrypted Medical Images
An Optimized Offline Random Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics
Robust Variable Impedance Control for Aerial Compliant Interaction With Stability Guarantee
On Edge Human Action Recognition Using Radar-Based Sensing and Deep Learning
Identification for Nonlinear Flow Characteristics of Main Steam Regulating Valves in Power Plants by Mining Special Data Segments
Rotor Bar Fault Monitoring Method Based on Analysis of Air-Gap Torques of Induction Motors
A Multiobjective Intelligent Decision-Making Method for Multistage Placement of PMU in Power Grid Enterprises
Bio-Inspired Antagonistic Differential Polarization Algorithm for Heading Determination in Underwater Low-Light Environments