IEEE

Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control

Abstract: Reinforcement learning (RL) is a promising data-driven approach for adaptive traffic signal control (ATSC) in complex urban traffic networks, and deep neural networks further enhance its ...
IEEE

Digital Twin-Based Optimization for Ultraprecision Motion Systems With Backlash and Friction

Abstract: A digital twin-based optimization procedure is presented for an ultraprecision motion system with a flexible shaft connecting the motor to the (elastic) load, which is subject to both ...
IEEE

A Deep Learning Approach to Network Intrusion Detection

Abstract: Network intrusion detection systems (NIDSs) play a crucial role in defending computer networks. However, there are concerns regarding the feasibility and sustainability of current approaches ...
IEEE

Data-Driven Fault Diagnosis of Lithium-Ion Battery Overdischarge in Electric Vehicles

Abstract: The overdischarge can significantly degrade a lithium-ion (Li-ion) battery's lifetime. Therefore, it is important to detect the overdischarge and prevent severe damage of the Li-ion battery.
IEEE

Online Inertia Allocation for Grid-Connected Renewable Energy Systems Based on Generic ASF Model Under Frequency Nadir Constraint

Abstract: Frequency security is one of the challenges for the power grid penetrated by renewable energy systems (RESs). Virtual inertia provision from the RESs is considered to be efficient support ...
IEEE

Histogram of Gradients of Time–Frequency Representations for Audio Scene Classification

Abstract: Presents our entry to the Detection and Classification of Acoustic Scenes challenge. The approach we propose for classifying acoustic scenes is based on transforming the audio signal into a ...
IEEE

How Information Technology Capability Affects Supply Chain Innovation and Performance: A Cross-Boundary Ambidexterity Perspective

Abstract: Although prior article has documented that information technology (IT) capability enables supply chain innovation, thereby enhancing supply chain performance, research on how a firm can ...
IEEE

Microwave Photonic Synthetic Aperture Radar: Systems, experiments, and imaging processing [Technical Committees]

Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
IEEE

Design of Model Predictive Control Weighting Factors for PMSM Using Gaussian Distribution-Based Particle Swarm Optimization

Abstract: An improved particle swarm optimization (PSO) algorithm based on Gaussian distribution model is proposed to realize the autotuning of weighting factors for the cost function design in the ...
IEEE

Modeling and Data for Thermal Conductivity of Ultrathin Single-Crystal SOI Layers at High Temperature

Abstract: Simulations of the temperature field in silicon-on-insulator (SOI) and strained-Si transistors can benefit from experimental data and modeling of the thin silicon layer thermal conductivity ...
IEEE

Consumer Communications and Networking Conference, CCNC IEEE

2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC) Location: Las Vegas, NV, USA 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC) Location: Las Vegas, NV, USA ...
IEEE

Embedded Distributed Temperature Sensing Enabled Multistate Joint Observation of Smart Lithium-Ion Battery

Abstract: Accurate monitoring of the internal statuses is highly valuable for the management of the lithium-ion battery (LIB). This article proposes a thermal-model-based method for multistate joint ...