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

Optical Remote Sensing Image Understanding With Weak Supervision: Concepts, methods, and perspectives

Abstract: In recent years, supervised learning has been widely used in various tasks of optical remote sensing image (RSI) understanding, including RSI classification, pixel-wise segmentation, change ...
IEEE

Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks

Abstract: Recently, functional brain network has been used for the classification of brain disorders, such as Autism Spectrum Disorder (ASD) and Alzheimer’s disease (AD). Existing methods either ...
IEEE

A Review of Deep Learning-Based Semantic Segmentation for Point Cloud

Abstract: In recent years, the popularity of depth sensors and 3D scanners has led to a rapid development of 3D point clouds. Semantic segmentation of point cloud, as a key step in understanding 3D ...
IEEE

Dual-Band Wearable Textile Antenna on an EBG Substrate

Abstract: Performance of a dual-band coplanar patch antenna integrated with an electromagnetic band gap substrate is described. The antenna structure is made from common clothing fabrics and operates ...
IEEE

A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images

Abstract: The fully convolutional network (FCN) with an encoder-decoder architecture has been the standard paradigm for semantic segmentation. The encoder-decoder architecture utilizes an encoder to ...
IEEE

Grid-Connected Photovoltaic Systems: An Overview of Recent Research and Emerging PV Converter Technology

Abstract: Photovoltaic (PV) energy has grown at an average annual rate of 60% in the last five years, surpassing one third of the cumulative wind energy installed capacity, and is quickly becoming an ...
IEEE

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

Abstract: Liver cancer is one of the leading causes of cancer death. To assist doctors in hepatocellular carcinoma diagnosis and treatment planning, an accurate and automatic liver and tumor ...
IEEE

Security Operations Center: A Systematic Study and Open Challenges

Abstract: Since the introduction of Security Operations Centers (SOCs) around 15 years ago, their importance has grown significantly, especially over the last five years. This is mainly due to the ...
IEEE

A Novel Band Selection and Spatial Noise Reduction Method for Hyperspectral Image Classification

Abstract: As an essential reprocessing method, dimensionality reduction (DR) can reduce the data redundancy and improve the performance of hyperspectral image (HSI) classification. A novel ...
IEEE

Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography

Abstract: In the presence of metal implants, metal artifacts are introduced to x-ray computed tomography CT images. Although a large number of metal artifact reduction (MAR) methods have been proposed ...
IEEE

Improved Sigma Filter for Speckle Filtering of SAR Imagery

Abstract: The Lee sigma filter was developed in 1983 based on the simple concept of two-sigma probability, and it was reasonably effective in speckle filtering. However, deficiencies were discovered ...