IEEE

Finite-Time Fuzzy Adaptive Consensus for Heterogeneous Nonlinear Multi-Agent Systems

Abstract: This paper deals with the finite-time consensus control problem for a class of nonlinear strict-feedback multi-agent systems with heterogeneous dynamics. Due to the existence of unknown ...
IEEE

Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective

Abstract: Low-light raw image denoising is an essential task in computational photography, to which the learning-based method has become the mainstream solution. The standard paradigm of the ...
IEEE

The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

In this issue, “Best of the Web” presents the modified National Institute of Standards and Technology (MNIST) resources, consisting of a collection of handwritten digit images used extensively in ...
IEEE

5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View

Abstract: The grand objective of 5G wireless technology is to support three generic services with vastly heterogeneous requirements: enhanced mobile broadband (eMBB), massive machine-type ...
IEEE

A Coordinated Control Method to Smooth Wind Power Fluctuations of a PMSG-Based WECS

Abstract: This paper presents an output power smoothing method by a simple coordinated control of DC-link voltage and pitch angle of a wind energy conversion system (WECS) with a permanent magnet ...
IEEE

GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Abstract: The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that ...
IEEE

Comparison of Scenario-Based and Interval Optimization Approaches to Stochastic SCUC

Abstract: This paper compares applications of scenario-based and interval optimization approaches to stochastic security-constrained unit commitment (Stochastic SCUC). The uncertainty of wind power ...
IEEE

DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning

Abstract: Heating, ventilation, and air conditioning (HVAC) are extremely energy consuming, accounting for 40% of total building energy consumption. It is crucial to design some energy-efficient ...
IEEE

Artificial Intelligence through Simulated Evolution

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=5263042 ...
IEEE

A Neural-Network-Based Method for RUL Prediction and SOH Monitoring of Lithium-Ion Battery

Abstract: The prognostic and health management (PHM) of lithium-ion batteries has received increasing attention in recent years. The remaining useful life (RUL) prediction and state of health (SOH) ...
IEEE

DBSCAN Clustering Algorithm Based on Density

Abstract: Clustering technology has important applications in data mining, pattern recognition, machine learning and other fields. However, with the explosive growth of data, traditional clustering ...