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

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

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

Data Fusion for Multi-Source Sensors Using GA-PSO-BP Neural Network

Abstract: The development of real-time road condition systems will better monitor road network operation status. However, the weak point of all these systems is their need for comprehensive and ...
IEEE

Epidemic Propagation With Positive and Negative Preventive Information in Multiplex Networks

Abstract: We propose a novel epidemic model based on two-layered multiplex networks to explore the influence of positive and negative preventive information on epidemic propagation. In the model, one ...
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

Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis

Abstract: Distinct feature extraction methods are simultaneously used to describe bearing faults. This approach produces a large number of heterogeneous features that augment discriminative ...
IEEE

Energy-Storage-Based Intelligent Frequency Control of Microgrid With Stochastic Model Uncertainties

Abstract: With the increasing proportion of renewable power generations, the frequency control of microgrid becomes more challenging due to stochastic power generations and dynamic uncertainties. The ...
IEEE

A Survey of Network Automation for Industrial Internet-of-Things Toward Industry 5.0

Abstract: Network automation has been bred by the deployment of 5G based Industrial Internet-of-Things (IIoT) in Industry 4.0, and further approaching pervasive AI ...
IEEE

Remote Sensing Image Reconstruction Using Tensor Ring Completion and Total Variation

Abstract: Time-series remote sensing (RS) images are often corrupted by various types of missing information such as dead pixels, clouds, and cloud shadows that significantly influence the subsequent ...