IEEE

A Frequency Decoupling Network for Semantic Segmentation of Remote Sensing Images

Abstract: Semantic segmentation of remote sensing images (RSIs) is vital for numerous geospatial applications, including land-use mapping, urban planning, and environmental monitoring. Traditional ...
IEEE

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Abstract: Remaining useful life (RUL) prediction of lithium-ion batteries can assess the battery reliability to determine the advent of failure and mitigate battery risk. The existing RUL prediction ...
IEEE

GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Abstract: The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that ...
IEEE

Comparison of Scenario-Based and Interval Optimization Approaches to Stochastic SCUC

Abstract: This paper compares applications of scenario-based and interval optimization approaches to stochastic security-constrained unit commitment (Stochastic SCUC). The uncertainty of wind power ...
IEEE

The Global Precipitation Measurement (GPM) Microwave Imager (GMI): Instrument Overview and Early On-Orbit Performance

Abstract: The Global Precipitation Measurement (GPM) mission is an international satellite mission that uses measurements from an advanced radar/radiometer system on a core observatory as reference ...
IEEE

Symmetry-Informed Reinforcement Learning and its Application to Low-Level Attitude Control of Quadrotors

Abstract: Symmetry is ubiquitous in nature, physics, and mathematics. However, a classical symmetry-agnostic reinforcement learning (RL) approach cannot guarantee to respect symmetry. Researchers have ...
IEEE

Dual-View Spectral and Global Spatial Feature Fusion Network for Hyperspectral Image Classification

Abstract: For hyperspectral image (HSI) classification, two branch networks generally use convolutional neural networks (CNNs) to extract the spatial features and long short-term memory (LSTM) to ...
IEEE

Learning and Transferring Deep Joint Spectral–Spatial Features for Hyperspectral Classification

Abstract: Feature extraction is of significance for hyperspectral image (HSI) classification. Compared with conventional hand-crafted feature extraction, deep learning can automatically learn features ...
IEEE

Integrating Model-Driven and Data-Driven Methods for Power System Frequency Stability Assessment and Control

Abstract: With increase of practical power system complexity, power system online stability assessment and control is more and more important. Application of the traditional model-driven methods is ...
IEEE

International Conference on Computer Vision (ICCV)

2023 IEEE/CVF International Conference on Computer Vision (ICCV) Location: Paris, France 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Location: Montreal, QC, Canada 2019 IEEE/CVF ...
IEEE

A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

Abstract: This paper addresses unsupervised change detection by proposing a proper framework for a formal definition and a theoretical study of the change vector analysis (CVA) technique. This ...
IEEE

Deep Learning-Based Multi-Focus Image Fusion: A Survey and a Comparative Study

Abstract: Multi-focus image fusion (MFIF) is an important area in image processing. Since 2017, deep learning has been introduced to the field of MFIF and various methods have been proposed. However, ...