Journal & Article

Engineering, Industrial

I/F
# Journal I/F

IEEE Transactions on Industrial Informatics

Table of Contents IEEE Industrial Electronics Society Information IEEE Transactions on Industrial Informatics Information for Authors Biomimetic Viscoelastic Compliance Control for Self-Balancing Lower Limb Exoskeleton Seamless Scheduling for NFV-Enabled 5G-TSN Network: A Full-Path AoI Based Method Tracking Control of Snake Robots With Butterfly Spiral Propulsion for Multiscenario Applications An Effective Semantic Segmentation Network With Multipath Attention for Industrial Meter Pointer Images Anisotropic Neural Reflectance Model for Measuring Curved Machined Metal Surface An Information Theory-Based Locational Marginal Pricing Solution for Low-Carbon Power Systems High-Availability Authentication and Key Agreement for Internet of Things-Based Devices in Industry 5.0 Secure and Efficient Industrial Wireless Sensor Networks Protocol Based on Cancelable Biometrics Exploring Adversarial Attacks in Federated Learning for Medical Imaging A Wearable, Reconfigurable, and Modular Magnetic Tracking System for Wireless Capsule Robots A Two-Phase PCBA Optimization With ILP Model and Heuristic for a Beam Head Placement Machine An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application Optimal Electricity Consumption Strategy Toward Low-Carbon Policy Mix Inverse Model Predictive Control: Learning Optimal Control Cost Functions for MPC Online Evolutionary Method for Mechanism-Driven Time-Varying Thermal Error Model of Machine Tools SS-Pose: Self-Supervised 6-D Object Pose Representation Learning Without Rendering Darkness-Adaptive Action Recognition: Leveraging Efficient Tubelet Slow-Fast Network for Industrial Applications Recursive State Estimation for Permanent Magnet Synchronous Motors With Sensor Degradations Under Encoding–Decoding Schemes Single-Shot High-Density Volumetric Particle Imaging Enabled by Differentiable Holography Lori: Local Low-Rank Response Imputation for Automatic Configuration of Contextualized Artificial Intelligence Low Voltage Distribution Network TN-S Impedance Identification Considering Single and Three-Phase Hybrid Connection Hierarchically Fair and Differentially Private Federated Learning in Industrial IoT Based on Compressed Sensing With Adaptive-Thresholding Sparsification Diagnosis of Inter-Turn Short-Circuit Incipient Fault in Permanent Magnet Synchronous Motors Using Input Current on the Power Side MMATrans: Muscle Movement Aware Representation Learning for Facial Expression Recognition via Transformers Multistage Net: Learning Continuous Multistage Manufacturing Processes of Liquid Products Without Intermediate Output and Lead-Time Labels Customized Energy Management for Fuel Cell Electric Vehicle Based on Deep Reinforcement Learning-Model Predictive Control Self-Regulation Framework Multidimensional Design Space Exploration for Evolving Manufacturing Systems: Interplay of Deployment, Topology, and Production Planning Architectural Decisions Accelerated Matrix Completion-Based State Estimation for Unobservable Distribution Networks Identifying Contributors to Supply Chain Outcomes in a Multiechelon Setting: A Decentralised Approach Curriculum-Based Federated Learning for Machine Fault Diagnosis With Noisy Labels Online Detection and Location Scheme for Aged Cable Segment in MMC-HVDC Systems Based on Admittance Spectrum and Compressed Sensing Domain Generalization Combining Covariance Loss With Graph Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearings Improved Global Maximum Power Point Tracking Technique for a Partially Shaded Solar Photovoltaic Array Using Capacitor Transient Effect Toward Transferable Adversarial Attacks Against Autoencoder-Based Network Intrusion Detectors UniGrad-FS: Unified Gradient Projection With Flatter Sharpness for Continual Learning Rotational Angle Estimation Using an Acceleration Sensor Array and Real-Time Detection Algorithm Multitarget Incremental Modeling via Random Weight Networks Distributed Self-Triggered Control of Islanded Microgrids Under Switching Communication Topologies Mechanism-Assisted Deep State Space Model for Dynamic System Identification Reinforcement Learning-Based Fault-Tolerant Control for Quadrotor UAVs Under Actuator Fault Synergistic TransGCN for Aeroengine Bearing Skidding Diagnosis Under Time-Varying Conditions Sequential Feature-Augmented Deep Multilabel Learning for Compound Fault Diagnosis of Rotating Machinery With Few Labeled and Imbalanced Data Fault-Tolerant Sun-Pointing Attitude Control Based on Physics-Guided Neural Networks Y-FFC Net for 3D Reconstruction of Highly Reflective Surfaces Few-Sample Anomaly Detection in Industrial Images With Edge Enhancement and Cascade Residual Feature Refinement A Fast Kalman Equalizer for Single-Carrier Underwater Acoustic Communication Heat Equation Stein Variational Ensemble: Rethinking and Advancing Uncertainty-Aware Soft Sensor Modeling