yusuke1997/dblp-id-title huggingface dataset:
A Common and Individual Feature Extraction-Based Multimode Process Monitoring Method With Application to the Finishing Mill Process
Accurate and Efficient Indoor Pathfinding Based on Building Information Modeling Data
A Collusion Attack Resistance Data Aggregation Scheme in Internet of Things
Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China
Linear Priors Mined and Integrated for Transparency of Blast Furnace Black-Box SVM Model
Generalized Mapping Fault Diagnosis for Industrial Machine Based on Penalty Gating LSTM
Fault-Tolerant Control of Pneumatic Continuum Manipulators Under Actuator Faults
Intelligent Contour Error Compensation of Ultraprecision Machining Using Hybrid Mechanism-Data-Driven Model Assisted With IoT Framework
Latency-Aware Path Planning for Disconnected Sensor Networks With Mobile Sinks
Fault Diagnosis of High-Speed Train Bogie by Residual-Squeeze Net
Communication-Free Power Control Algorithm for Drone Wireless In-Flight Charging Under Dual-Disturbance of Mutual Inductance and Load
LTE RSSI Based Vehicular Localization System in Long Tunnel Environment
Component-Based Safety Analysis of FPGAs
Request Balancing Among Users in Multiple Autonomous Cloud Provider Environments
Compensation Method for Molten Iron Temperature Measurement Based on Heterogeneous Features of Infrared Thermal Images
Optimal Real-Time Energy Management in Apartment Building Integrating Microgrid With Multizone HVAC Control
A Storage-Based Multiagent Regulation Framework for Smart Grid Resilience
A True Open-Loop Synchronization Technique
Modified Strong Tracking Slide Window Variational Adaptive Kalman Filter With Unknown Noise Statistics
Stochastic Model Predictive Control of Air Conditioning System for Electric Vehicles: Sensitivity Study, Comparison, and Improvement
An IoT-Based Novel Hybrid Seizure Detection Approach for Epileptic Monitoring
Design and Cosimulation of Hierarchical Architecture for Demand Response Control and Coordination
A High-Precision Automatic Wire Wrapping Approach Based on Microscopic Vision and Force Information
Guest Editorial: Special Section on Identification and Observation Informatics for Energy Generation, Conversion, and Applications
Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE
A Novel Soft Sensor Modeling Approach Based on Difference-LSTM for Complex Industrial Process
ADP-Based Remote Secure Control for Networked Control Systems Under Unknown Nonlinear Attacks in Sensors and Actuators
Plug-and-Play Distributed Estimation of Driving States in an Open Vehicle Platoon
Improved Underwater Polarization Heading Determination via INS/PS Integration: Considering the Influence of Light Refraction
A Novel Clustering Index to Find Optimal Clusters Size With Application to Segmentation of Energy Consumers
Application of Digital Image Processing to Detect Short-Circuit Turns in Power Transformers Using Frequency Response Analysis
Energy Management of Home Devices With Smart Response for the Energy Generation Profile
MLP Control Algorithm for Adaptable Dual-Mode Single-Stage Solar PV System Tied to Three-Phase Voltage-Weak Distribution Grid
Novel Detection Scheme Design Considering Cyber Attacks on Load Frequency Control
WAVE-Based Vehicle Localization With Fuzzy Filter for Autopilot in a Free-Flow Toll Station
Hierarchical Distributed Scheme for Demand Estimation and Power Reallocation in a Future Power Grid
Aggregate Frequency Support Capability Assessment of Active Distribution Network Considering Power Flow Constraints
LoRaWAN Range Extender for Industrial IoT
Joint Energy Replenishment and Operation Scheduling in Wireless Rechargeable Sensor Networks
AutoConf: New Algorithm for Reconfiguration of Cyber-Physical Production Systems
A Cloud-Assisted Reliable Trust Computing Scheme for Data Collection in Internet of Things
An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics
Making Knowledge Tradable in Edge-AI Enabled IoT: A Consortium Blockchain-Based Efficient and Incentive Approach
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions
On-Demand Transmission for Edge-Assisted Remote Control in Industrial Network Systems
Feature Trend Extraction and Adaptive Density Peaks Search for Intelligent Fault Diagnosis of Machines
Topology Control Strategy for Movable Sensor Networks in Ultradeep Shafts
ICARU-FB: An IEC 61499 Compliant Multiplatform Software Infrastructure
ARS: Adaptive Routing System for Heterogeneous Traffic in Industrial Data Centers
Complete Recovery and Health Status Detection of Roller Tank Lugs Using Image Inpainting Based on Unordered Image Stitching
Robust Policy Learning Control of Nonlinear Plants With Case Studies for a Power System Application
Managing Process Model Complexity Via Abstract Syntax Modifications
Research on Anti-Error Performance of Speed and Flux Estimator for Induction Motor Using Robust Reduced-Order EKF
Tracking Control of Mobile Robots in Formation in the Presence of Disturbances
A Self-Healing and Fault-Tolerant Cloud-Based Digital Twin Processing Management Model
Sparse Low-Rank Tensor Decomposition for Metal Defect Detection Using Thermographic Imaging Diagnostics
Real-Time Corporate Carbon Footprint Estimation Methodology Based on Appliance Identification
Efficient Traceability Systems of Steel Products Using Blockchain-Based Industrial Internet of Things
Subdomain-Alignment Data Augmentation for Pipeline Fault Diagnosis: An Adversarial Self-Attention Network
Spatiotemporally Multidifferential Processing Deep Neural Network and its Application to Equipment Remaining Useful Life Prediction
Detection of Malicious Code Variants Based on Deep Learning
Autonomous Power Control and Management Between Standalone DC Microgrids
A DDS-Based Energy Management Framework for Small Microgrid Operation and Control
A Robust Adaptive PI Voltage Controller to Eliminate Impact of Disturbances and Distorted Model Parameters for 3-Phase CVCF Inverters
A Novel Imbalanced Data Classification Method Based on Weakly Supervised Learning for Fault Diagnosis
Rational-Dilation Wavelet Transform Based Torque Estimation from Acoustic Signals for Fault Diagnosis in a Three-Phase Induction Motor
Artificial Intelligence Enhanced Two-Stage Hybrid Fault Prognosis Methodology of PMSM
Attention-Based Multimodal Image Feature Fusion Module for Transmission Line Detection
Robust and Efficient Rule Extraction Through Data Summarization and Its Application in Welding Fault Diagnosis
Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modeling
Cruise Control for a Two-Wheeled Mobile Vehicle Using Its Mixed Logical Dynamical System Model
Image-Based Prognostics Using Deep Learning Approach
Aperiodic Sampled-Data $H_{\infty }$ Control of Vehicle Active Suspension System: An Uncertain Discrete-Time Model Approach
Multitentacle Federated Learning Over Software-Defined Industrial Internet of Things Against Adaptive Poisoning Attacks
Interoperability for Industrial Cyber-Physical Systems: An Approach for Legacy Systems
Formal Language Generation for Fault Diagnosis With Spectral Logic via Adversarial Training
A Local-to-Global Mapping Based Decentralized Control Method With Communication Fault Tolerance for Wind Farms
Deep Reinforcement Learning for Securing Software-Defined Industrial Networks With Distributed Control Plane
Subspace-Aided Distributed Monitoring and Control Performance Optimization Approach for Interconnected Industrial Systems
A New Flexible Power Quality Conditioner With Model Predictive Control
New Shoot-Through Control Methods for qZSI-Based DC/DC Converters
A Distributed and Resilient Bargaining Game for Weather-Predictive Microgrid Energy Cooperation
Generalized Out-of-Distribution Fault Diagnosis (GOOFD) via Internal Contrastive Learning
Spatio-Temporal Feature Extraction for Predicting Large-Scale Train Delay Propagation in High-Speed Railway Networks
Quasi-Z-Source Network-Based Hybrid Power Supply System for Aluminum Electrolysis Industry
Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning
Adaptive Multivariate Data Compression in Smart Metering Internet of Things
Reine: Reinspection Necessity-Based Video Collaborative Edge Caching in Smart Factory
Residential Load Disaggregation Considering State Transitions
Constrained Sampled-Data ARC for a Class of Cascaded Nonlinear Systems With Applications to Motor-Servo Systems
Signal-Disturbance Interfacing Elimination for Unbiased Model Parameter Identification of Lithium-Ion Battery
Experimental Validation of an Explicit Power-Flow Primary Control in Microgrids
Model-Free Adaptive Synergetic Control to Improve Robustness and Transient Performance of Grid-Tied Inverters
A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications
Nonlinear Output Feedback Finite-Time Control for Vehicle Active Suspension Systems
Optimal Encryption Scheduling Policy Against Eavesdropping Attacks in Cyber-Physical Systems
Maximizing Computed Data in In-Band Full-Duplex UAV-Assisted IIoT Networks
A Data-Mining Compensation Approach for Yaw Misalignment on Wind Turbine
Performance Analysis of Postquantum Cryptographic Schemes for Securing Large-Scale Wireless Sensor Networks
Enabling and Optimizing MACsec for Industrial Environments
Participatory Sensing for Smart Cities: A Case Study on Transport Trip Quality Measurement
Managing Massive RES Integration in Hybrid Microgrids: A Data-Driven Quad-Level Approach With Adjustable Conservativeness
An Improved Method to Predict the Position of Maximum Power Point During Partial Shading for PV Arrays
SHARIF: Solid Pod-Based Secured Healthcare Information Storage and Exchange Solution in Internet of Things
Jointly Low-Rank Tensor Completion for Estimating Missing Spatiotemporal Values in Logistics Systems
Novel Multiscale Trend Decomposition LSTM Based on Feature Selection for Industrial Soft Sensing
A New Diagnostic Technique for Reliable Decision-Making on Transformer FRA Data in Interturn Short-Circuit Condition
Toward Precise Gaze Estimation for Mobile Head-Mounted Gaze Tracking Systems
Spectral Correlation Information Embedded NIR Modeling Method and Its Industrial Applications
Application of Multidirectional Robotic Wire Arc Additive Manufacturing Process for the Fabrication of Complex Metallic Parts
Deterministic Branch and Cut Algorithm for Multiobjective Optimization of Protective Device Allocation in Radial Distribution Systems
Leveraging Augmented Intelligence of Things to Enhance Lifetime of UAV-Enabled Aerial Networks
Generating Jacquard Fabric Pattern With Visual Impressions
Material Removal Rate Prediction Based on Broad Echo State Learning System for Magnetically Driven Internal Finishing
Applications in Traffic Signal Control: A Distributed Policy Gradient Decomposition Algorithm
Ontology-Assisted Engineering of Cyber-Physical Production Systems in the Field of Process Technology
DRL-Based Distributed Coordination of ISO and DSOs in Bi-Level Electricity Markets
Automatic Inference of Finite-State Plant Models From Traces and Temporal Properties
Adaptive Wavelet Normalization Network for Soft Sensor Modeling in Nonstationary Industrial Processes
Cured Memory RUL Prediction of Solid-State Batteries Combined Progressive-Topologia Fusion Health Indicators
A Physics-Informed Hybrid Multitask Learning for Lithium-Ion Battery Full-Life Aging Estimation at Early Lifetime
Multiparty Energy Management for Grid-Connected Microgrids With Heat- and Electricity-Coupled Demand Response
Control Mode Switching-Enabled Physics- Guided Multiagent Graph Learning for Real-Time AC/DC Power Flow
A Continuous Noninvasive Arterial Pressure (CNAP) Approach for Health 4.0 Systems
Dynamic Power-Aware Mapping of Applications onto Heterogeneous MPSoC Platforms
An Improved Variable Step Normalized Adaptive Filter Based Control and Power Conditioning for a Remote Solar PV-DG Set System
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems
Guest Editorial: Special Section on Communication in Automation - Part II
Ontology Learning for Systems Engineering Body of Knowledge
Attack and Defense: Adversarial Security of Data-Driven FDC Systems
Cell Division Genetic Algorithm for Component Allocation Optimization in Multifunctional Placers
Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares
High Performance Digital Hysteresis Control for Single Source Cascaded Inverters
Compensator-Based Self-Learning: Optimal Operational Control for Two-Time-Scale Systems With Input Constraints
A Novel Distributed Fault Diagnosis Scheme Toward Open-Set Scenarios Based on Extreme Value Theory
Privacy-Preserved Framework for Short-Term Probabilistic Net Energy Forecasting
Integration of a Threat Traceability Solution in the Industrial Internet of Things
E-ANDSF-Based Base Station Selection Scheme by Using MLP in Untrusted Environments
False Data Injection Attacks on Smart Grid Voltage Regulation With Stochastic Communication Model
Legacy Real-Time Applications in a Reservation-Based System
Design and Analysis of a Noise-Resistant ZNN Model for Settling Time-Variant Linear Matrix Inequality in Predefined-Time
Resilient Operation of Distribution Grids Using Deep Reinforcement Learning
The Mathematical Model and Novel Final Test System for Wafer-Level Packaging
A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance
Integrated Network-Based Model Predictive Control for Setpoints Compensation in Industrial Processes
Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems
Feature Extraction for Mining Industry Image Based on SAM: A Case Study From Froth Flotation
Distortion-Correction Method Based on Angular Spectrum Algorithm for Holographic Display
Saliency-Based Defect Detection in Industrial Images by Using Phase Spectrum
Three-Dimensional Imaging by Self-Reference Single-Channel Digital Incoherent Holography
AMagPoseNet: Real-Time Six-DoF Magnet Pose Estimation by Dual-Domain Few-Shot Learning From Prior Model
Long-Term Series Forecasting for Industrial Processes Based on Multiscale Hybrid Decomposition Feature Extraction Network
Induction Motors Shadow Model-Based on Efficiency for Digital Twin Application in Industry 4.0
Differential Fault Diagnosis in Power Transformers Under Limited Data Condition via Few-Shot Learning
Low-Illumination Image Enhancement for Night-Time UAV Pedestrian Detection
A Deep Coupled Network for Health State Assessment of Cutting Tools Based on Fusion of Multisensory Signals
A Semisupervised Learning Framework for Recognition and Classification of Defects in Transient Thermography Detection
An Algorithm of Reactive Collision Free 3-D Deployment of Networked Unmanned Aerial Vehicles for Surveillance and Monitoring
Multiscale Transfer Voting Mechanism: A New Strategy for Domain Adaption
A Two-Tailed Pricing Scheme for Optimal EV Charging Scheduling Using Multiobjective Reinforcement Learning
Data-Driven System Reliability and Failure Behavior Modeling Using FMECA
Opportunities for Sensing Systems in Mining
Feedforward Error Learning Deep Neural Networks for Multivariate Deterministic Power Forecasting
Regularized Neural Networks Fusion and Genetic Algorithm Based On-Field Nitrogen Status Estimation of Wheat Plants
An Incentive Mechanism for Electric Vehicles Participation in Security Constrained Unit Commitment of Renewable-Integrated Smart Grids
Distributed Sampled-Data H ∞ Filtering for Sensor Networks With Nonuniform Sampling Periods
Hybrid Data-Driven and Multisequence Feature Fusion Fault Diagnosis Method for Electro-Hydrostatic Actuators of Transport Airplane
An Advanced Computing Approach for IoT-Botnet Detection in Industrial Internet of Things
Rendering Secure and Trustworthy Edge Intelligence in 5G-Enabled IIoT Using Proof of Learning Consensus Protocol
Intelligent Session Management for URLLC in 5G Open Radio Access Network: A Deep Reinforcement Learning Approach
Hybrid Energy Storage System of an Electric Scooter Based on Wireless Power Transfer
Recursive State Estimation for Permanent Magnet Synchronous Motors With Sensor Degradations Under Encoding-Decoding Schemes
Variable Projection Algorithm for GPS Positioning in Multipath Environments Based on Aitken Acceleration Method
A Nonlinear Optimal Control Approach Based on the Control-Lyapunov Function for an AC/DC Converter Used in Electric Vehicles
Fault Detection of the Medium-Voltage DC Cable by Using the Featured Modal Signals
Adaptive Fog Configuration for the Industrial Internet of Things
Diagnostic of Combined Mechanical and Electrical Faults in ASD-Powered Induction Motor Using MODWT and a Lightweight 1-D CNN
DIYA: Tactile Internet Driven Delay Assessment NOMA-Based Scheme for D2D Communication
Robotic Disassembly Skill Acquisition Based on Reinforcement Learning With External Knowledge Injection
Lookup-Table-Based DTC of Induction Machines With Improved Flux Regulation and Extended Kalman Filter State Estimator at Low-Speed Operation
Semantic web services in factory automation: fundamental insights and research roadmap
A Blockchain-Based Secure Data Aggregation Strategy Using Sixth Generation Enabled Network-in-Box for Industrial Applications
Guest Editorial: Special Section on Real-Time Edge Computing Over New Generation Automation Networks for Industrial Cyber-Physical Systems
Hardware/Software Codesign Guidelines for System on Chip FPGA-Based Sensorless AC Drive Applications
Fast and Accurate Retinal Identification System: Using Retinal Blood Vasculature Landmarks
Online Battery Protective Energy Management for Energy-Transportation Nexus
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?
Enhanced Self-Synchronized Reduced Media-Independent Interface for Robotic and Automotive Applications
Resilient Prediction-Based and Event-Triggered Control for CPSs Under DoS Attacks
Accurate Self-Localization in RFID Tag Information Grids Using FIR Filtering
CaCo: Attributed Network Anomaly Detection via Canonical Correlation Analysis
Privacy-Preserving Adaptive Secondary Control for DC Microgrids With Constant Power Loads
Applying Model Checking to Industrial-Sized PLC Programs
Consensus-Based Smart Grid State Estimation Algorithm
Memristor-Based Hyperchaotic Maps and Application in Auxiliary Classifier Generative Adversarial Nets
Interactive Grid Interfacing System by Matrix-Converter-Based Solid State Transformer With Model Predictive Control
A Delay-Dependent Dual-Rate PID Controller Over an Ethernet Network
A Novel Methodology to Predict 3-D Surface Temperature Field on Delamination for Thermography
A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades
Dynamic Optimization for Copper Removal Process With Continuous Production Constraints
A Synchronization Protocol for Temporal Isolation of Software Components in Vehicular Systems
Introducing intelligent sensors in presses for plastic material injection
Data-Driven Integration of Scheduling and Control With Closed-Loop Prediction for Industrial Flexible Production
Distributed Electric Vehicles Charging Management Considering Time Anxiety and Customer Behaviors
Authentic Caller: Self-Enforcing Authentication in a Next-Generation Network
Symbiotic Robotics Network for Efficient Task Offloading in Smart Industry
Centimeter-Grade Metropolitan Positioning for Lane-Level Intelligent Transportation Systems Based on the Internet of Vehicles
Embedded Control Barrier Functions: Concept and Application to Safety-Critical Control Design of High-Relative-Degree Systems
Linear Kalman Filter-Based Grid Synchronization Technique: An Alternative Implementation
Space-Reserved Cooperative Caching in 5G Heterogeneous Networks for Industrial IoT
Design and Implementation of Terminal Sliding Mode Control Method for PMSM Speed Regulation System
Crash Severity Analysis With Cost-Sensitive Graph Convolutional Networks
A Scalable FMI-Compatible Cosimulation Platform for Synchrophasor Network Studies
Denoising Aggregation of Graph Neural Networks by Using Principal Component Analysis
A Semantic-Enabled Social Network of Devices for Building Automation
Intelligent Forecasting Using Dead Reckoning With Dynamic Errors
Deep Pattern Matching for Energy Consumption Prediction of Complex Structures in Ecological Additive Manufacturing
Cloud-Orchestrated Physical Topology Discovery of Large-Scale IoT Systems Using UAVs
Guest Editorial: Special Section on Intelligent Informatics for Edge of Things in Smart Industrial Ecosystem
Short-Term Forecasting of Electricity Spot Prices Containing Random Spikes Using a Time-Varying Autoregressive Model Combined With Kernel Regression
Operational Data-Driven Feedback for Safety Evaluation of Agent-Based Cyber-Physical Systems
A Blockchain-Based Secure Key Management Scheme With Trustworthiness in DWSNs
Physics-Embedded Deep Koopman Modeling for Wind Turbine Fatigue Load Reduction Control
A Distributed Real-Time Java-Centric Architecture for Industrial Systems
A Novel $k$-Means Clustering and Weighted $k$-NN-Regression-Based Fast Transmission Line Protection
Privacy-Preserving Cooperative Optimal Operation for Reconfigurable Multimicrogrid Distribution Systems: A Noniterative Distributed Optimization Approach
A Hardware and Secure Pseudorandom Generator for Constrained Devices
Recommendation by Users' Multimodal Preferences for Smart City Applications
Unified System- and Circuit-Level Optimization of RES-Based Power-Supply Systems for the Nodes of Wireless Sensor Networks
Time-triggered smart transducer networks
Dynamic Graph-Driven Rotating Machine Fault Diagnosis: An Adaptively Updating Cross-Domain Relationship Information
Robust Guaranteed Cost Control Under Digital Communication Channels
A Novel Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks
Cyber-Resilient Control of an Islanded Microgrid Under Latency Attacks and Random DoS Attacks
System-Level Performance Degradation Prediction for Power Converters Based on SSA-Elman NN and Empirical Knowledge
A New FPGA-Implemented Neural Network for Compensating Degradation of AMOLED Displays in Real Time for Long Operation With Temperature Considered
Distributed Energy Resources Based Two-Layer Delay-Independent Voltage Coordinated Control in Active Distribution Network
A Trapezoid Attention Mechanism for Power Generation and Consumption Forecasting
A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things
Distributed Time-Varying Formation Control for Multiagent Systems With Directed Topology Using an Adaptive Output-Feedback Approach
AC Feasibility Restoration in Market Clearing: Problem Formulation and Improvement
A Novel Curve Pattern Recognition Framework for Hot-Rolling Slab Camber
DINS: A Diverse Insulator Dataset for Object Detection and Instance Segmentation
A DC-Bus Capacitor Discharge Strategy for PMSM Drive System With Large Inertia and Small System Safe Current in EVs
The Control Strategy of Open-Winding Permanent Magnet Starter-Generator With Inverter-Rectifier Topology
Development of an Automated Global Crash Prediction Model With Adaptive Feature Selection of Deep Neural Networks
Guest Editorial Special Section on Emerging Information Sharing and Design Technologies on Robotics and Mechatronics Systems for Intelligent Manufacturing
Distributed Multirate Control of Battery Energy Storage Systems for Power Allocation
Cloud Service Negotiation in Internet of Things Environment: A Mixed Approach
Safe-Commutation Strategy for the Novel Family of Quasi-Z-Source AC-AC Converter
Robust Operation Scheme of EV Charging Facility With Uncertain User Behavior
Detection and Classification of Anomalies in Power Distribution System Using Outlier Filtered Weighted Least Square
Class-Imbalanced Spatial-Temporal Feature Learning for Blade Icing Recognition of Wind Turbine
Nonlinear System Modeling Using RBF Networks for Industrial Application