IEEE

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

Abstract: Large Language Models (LLMs) recently demonstrated extraordinary capability in various natural language processing (NLP) tasks including language translation, text generation, question ...
IEEE

Distributed Consensus-Based Economic Dispatch in Power Grids Using the Paillier Cryptosystem

Abstract: Economic dispatch is a critical problem in operation of power grids. A consensus-based algorithm was recently proposed to solve the economic dispatch problem in a distributed manner. In this ...
IEEE

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Abstract: Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure proper ...
IEEE

On-Load Field Prediction in SPM Machines by a Subdomain and Magnetic Circuit Hybrid Model

Abstract: In this article, a new subdomain and magnetic circuit hybrid model (SMCHM) is proposed for on-load field prediction in the surface-mounted permanent-magnet machines. Equivalent current ...
IEEE

Ferroelectric Field Effect Transistors as a Synapse for Neuromorphic Application

Abstract: In spite of the increasing use of machine learning techniques, in-memory computing and hardware have increased the interest to accelerate neural network operation. Henceforth, novel embedded ...
IEEE

Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems

Abstract: In this paper, a value iteration adaptive dynamic programming (ADP) algorithm is developed to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear systems ...
IEEE

From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis

Abstract: This review paper is to give a full picture of fault detection and diagnosis (FDD) in complex systems from the perspective of data processing. As a matter of fact, an FDD system is a ...
IEEE

Evaluation of polypropylene/polyolefin elastomer blends for potential recyclable HVDC cable insulation applications

Abstract: This paper evaluates the microstructure and properties of polypropylene/polyolefin elastomer (PP/POE) blends for potential recyclable HVDC cable insulation ...
IEEE

Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection

Abstract: For hyperspectral image (HSI) change detection (CD), multiscale features are usually used to construct the detection models. However, the existing studies only consider the multiscale ...
IEEE

Poverty Evaluation Using NPP-VIIRS Nighttime Light Composite Data at the County Level in China

Abstract: Poverty has appeared as one of the long-term predicaments facing development of human society during the 21st century. Estimation of regional poverty level is a key issue for making ...
IEEE

Fully Convolutional Change Detection Framework With Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection

Abstract: Deep learning for change detection is one of the current hot topics in the field of remote sensing. However, most end-to-end networks are proposed for supervised change detection, and ...
IEEE

Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification

Abstract: Convolutional Neural Networks (CNN) and Graph Neural Networks (GNN), such as Graph Attention Networks (GAT), are two classic neural network models, which are applied to the processing of ...