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

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

Combined Heat and Power Dispatch Considering Pipeline Energy Storage of District Heating Network

Abstract: The regional integration of variable wind power could be restricted by a strong coupling of electric power generation dispatch and heat supply of combined heat-and-power (CHP) units. The ...
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

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

Internet of Things (IoT): Origins, Embedded Technologies, Smart Applications, and Its Growth in the Last Decade

Abstract: The idea of the IoT began back in 1982 when a vending machine was connected to the internet, then to the concept of Mark Weiser in 1992, then RFID, and so on. A detailed evolution of the IoT ...
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

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

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

A VMD and LSTM Based Hybrid Model of Load Forecasting for Power Grid Security

Abstract: As the basis for the static security of the power grid, power load forecasting directly affects the safety of grid operation, the rationality of grid planning, and the economy of ...