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

Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation

Abstract: This letter presents a method for satellite image classification aiming at the following two objectives: 1) involving visual attention into the satellite image classification; biologically ...
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

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

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

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

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 ...
IEEE

Condition Monitoring for Device Reliability in Power Electronic Converters: A Review

Abstract: Condition monitoring (CM) has already been proven to be a cost effective means of enhancing reliability and improving customer service in power equipment, such as transformers and rotating ...
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

Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices

Abstract: The interdependence of different energy forms in multiple energy systems (MESs) could leverage their synergies to reduce carbon emissions. However, such synergies cannot be exploited without ...