IEEE

Secure IoMT for Disease Prediction Empowered With Transfer Learning in Healthcare 5.0, the Concept and Case Study

Abstract: Identifying human diseases remains a difficult process, even in the age of advanced information technology and the smart healthcare industry 5.0. In the smart healthcare industry 5.0, ...
IEEE

Industrial Metaverse-Based Intelligent PID Optimal Tuning System for Complex Industrial Processes

Abstract: In this article, the method of dynamic performance monitoring and adaptive self-tuning of parameters for actual PID control systems of industrial processes in virtual reality scenes is ...
IEEE

Shifty: A Weight-Shifting Dynamic Passive Haptic Proxy to Enhance Object Perception in Virtual Reality

Abstract: We define the concept of Dynamic Passive Haptic Feedback (DPHF) for virtual reality by introducing the weight-shifting physical DPHF proxy object Shifty. This concept combines actuators ...
IEEE

Optimal Control of Voltage Forming Grid Inverters by Model Predictive Control and Reinforcement Learning

Abstract: Optimal control approaches, such as model predictive control (MPC) and reinforcement learning (RL), are promising for decentralized grid applications but face challenges related to model ...
IEEE

Finite-Set Direct Torque Control via Edge-Computing-Assisted Safe Reinforcement Learning for a Permanent-Magnet Synchronous Motor

Abstract: Advances in the field of reinforcement learning (RL)-based drive control allow formulation of holistic optimization goals for the data-driven training phase. The resulting controllers ...
IEEE

Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control

Abstract: This article studies the effective traffic signal control problem of multiple intersections in a city-level traffic system. A novel regional multi-agent cooperative reinforcement learning ...
IEEE

Routing Protocols for Wireless Nanosensor Networks and Internet of Nano Things: A Comprehensive Survey

Abstract: Nanotechnology is a multidisciplinary field that will make our life simpler and safer and mitigate our impact on the surrounding environment. With the recent advancements and transformations ...
IEEE

Vehicle Trajectory Prediction Considering Driver Uncertainty and Vehicle Dynamics Based on Dynamic Bayesian Network

Abstract: Vehicle trajectory prediction is a crucial but intricate problem for lateral driving assistance systems because of driver uncertainty. This article presents a probabilistic ...
IEEE

C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images

Abstract: A high-precision feature extraction model is crucial for change detection (CD). In the past, many deep learning-based supervised CD methods learned to recognize change feature patterns from ...
IEEE

A Review of Electrical and Electromagnetic Methods for Coal Mine Exploration in China

Abstract: During the past 20 years, due to the rapid development of China's economy, the amount of coal mining activities has rapidly increased, which has led to a large increase in the number of ...
IEEE

A Methodology for Predicting Acoustic Noise From Singing Capacitors in Mobile Devices

Abstract: Multilayer ceramic capacitors (MLCCs) connected to a power distribution network (PDN) can create acoustic noise through a combination of the power rail noise at the MLCCs and the ...
IEEE

Overvoltage Mechanism and Suppression Method for LCC-HVDC Rectifier Station Caused by Sending End AC Faults

Abstract: This letter analyzes the mechanism of the AC bus overvoltage at the LCC-HVDC rectifier station caused by the sending-end AC faults. Firstly, the influence of commutation failure on relevant ...