Journal & Article

Engineering, Industrial

I/F
# Journal I/F

IEEE Transactions on Industrial Informatics

Table of Contents IEEE Industrial Electronics Society Publication Information IEEE Industrial Electronics Society Information IEEE Transactions on Industrial Informatics Information for Authors MPPI-IPDDP: A Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots Synthetic Time-Series Data Generation for Smart Grids Using 3D Autoencoder GAN Systematic Vital Signs Detection Framework Based on Frequency-Modulated Continuous Wave MIMO Radar Neural Networks Micro Memory Control Strategy for Mechanical Faults Edge Recognition Adaptive Robust Unscented Kalman Filter for Dynamic State Estimation of Power System Upper Limb Motor Sequence Analysis: From Isolated to Sequential Integration of DPDK for Real-Time Communication in the Elettra Synchrotron Orbit Feedback Control System: Jitter and Latency Optimization Structural Decomposition Approach for Distribution Network Reconfiguration Replanning-Oriented Framework for Efficient Real-Time Decision-Making in Multi-UAV Systems Transformer-Style Convolutional Network for Efficient Natural and Industrial Image Superresolution A Novel Pairwise Domain-Adaptation-Assisted Dual-Task Learning Approach to Coprediction of Robotic Machining Efficiency and Quality in New Parameter Spaces GoalGrasp: Grasping Goals in Partially Occluded Scenarios Without Grasp Training Digital Twin Assisted Degradation Assessment of Bearing Cage Performance Brain-Inspired Deep Reinforcement Learning for Load Frequency Control of Power Systems With Composite Interference Seamless Multimode Control and Operation of a DFIG-SPVA-BES-DG Based Hybrid Power Conversion System With Multiple Transition States Multistage Adversarial Game for Cyber-Physical Attacks Protection of Smart Grids An Efficient Heuristic CQF Scheduling in Time-Sensitive Networking Complete Recovery and Health Status Detection of Roller Tank Lugs Using Image Inpainting Based on Unordered Image Stitching Value-Oriented Data-Driven Approach for Electrical Load Forecasting Apt to Facilitate Vehicle-to-Grid Scheduling Sparse Information Completion-Based Incremental Learning for Modeling of Complex Distributed Parameter Systems Decentralized Saturation Control for Large-Scale Stochastic Systems With Strict Feedforward Structure and Its Application PMU Data Compression in Power Systems Using Adaptive Rank-Based Tensor Ring Enhance the Cybersecurity of Variable Speed Drives Domain-Knowledge-Driven Intelligent Attribute Definition for Zero-Shot Fault Diagnosis of Bearings A Tracking-Based Burst Bubble Recognition in Flotation Using Deep Graph Neural Network Data-Driven Design of Distributed Kalman Filter-Based Fault Diagnosis for Large-Scale Systems Adaptive Asynchronous Control for USVs Over Jointly Connected Switching Topologies and Event-Triggered Communication State-Dependent Neural Flux Linkage Models of Synchronous Machines An Enhanced DV-Hop Localization Algorithm Based on Variable Scene Applications in the IoT An Unsupervised Approach to Power Transformer Early Fault Warning Based on PMCAEN and SVDD Harnessing the Power of Large Language Model for Effective Web API Recommendation Deep Reinforcement Learning-Based Cooperative Frequency Controller for Hydropower Dominated Systems Extremely-Low-Frequency Transmitter Based on Oscillating Electret Toward Increasing Data Rate With Low Power Consumption FlexTAS: Flexible Gating Control for Enhanced Time-Sensitive Networking Deployment Long-Term Series Forecasting for Industrial Processes Based on Multiscale Hybrid Decomposition Feature Extraction Network Physics-Informed LSTM-Based Time-Series Forecasting Model for Power Transformers Local Self-Attention With Mixing Abstract Tokens for Urban Autonomous Driving VBSFL: A Robust Blockchained Split-Fed Learning Model for Secured Distributed Learning A Mechanism-Guided Intelligent Enhancement Method for Early Aging Information of Winding Insulation Privacy-Preserving Recommendations With Mixture Model-Based Matrix Factorization Under Local Differential Privacy OPF $k$NN: Congestion Aware Real-Time Optimal Power Flow With Uncertain Solar Generation RISE-Based Prescribed Performance Control for Multimotor Driving Systems Multivision Tasks Offloading of IoT Perception in Intelligent Manufacturing Decoupling Sampling and Planning Frameworks for Redundant Manipulators Motion Planning Under End-Effector and Performance Constraints A Real-Time Simulation Model of Transmission Lines Incorporating Specific Frequency Dependence Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments