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

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

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

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

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 ...
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

Self-Powered Paper-Based Pressure Sensor Driven by Triboelectric Nanogenerator for Detecting Dynamic and Static Forces

Abstract: To meet the growing demand for self-powered pressure sensors that can be used to detect both dynamic and static forces, this study presents a self-powered pressure sensor driven by the ...
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

Some Studies in Machine Learning Using the Game of Checkers

Abstract: Two machine-learning procedures have been investigated in some detail using the game of checkers. Enough work has been done to verify the fact that a computer can be programmed so that it ...
IEEE

Scan Context: Egocentric Spatial Descriptor for Place Recognition Within 3D Point Cloud Map

Abstract: Compared to diverse feature detectors and descriptors used for visual scenes, describing a place using structural information is relatively less reported. Recent advances in simultaneous ...
IEEE

Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges

Abstract: Predicting the time, location and magnitude of an earthquake is a challenging job as an earthquake does not show specific patterns resulting in inaccurate predictions. Techniques based on ...
IEEE

Design and control of an LCL-filter-based three-phase active rectifier

Abstract: This paper proposes a step-by-step procedure for designing the LCL filter of a front-end three-phase active rectifier. The primary goal is to reduce the switching frequency ripple at a ...