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

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

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

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

Design Methodology of LLC Resonant Converters for Electric Vehicle Battery Chargers

Abstract: In this paper, an inductor–inductor–capacitor (LLC) resonant dc–dc converter design procedure for an onboard lithium-ion battery charger of a plug-in hybrid electric vehicle (PHEV) is ...
IEEE

VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment

Abstract: Guided by the free-energy principle, generative adversarial networks (GAN)-based no-reference image quality assessment (NR-IQA) methods have improved the image quality prediction accuracy.
IEEE

Prescribed Finite-Time Adaptive Neural Tracking Control for Nonlinear State-Constrained Systems: Barrier Function Approach

Abstract: The purpose of this article is to present a novel backstepping-based adaptive neural tracking control design procedure for nonlinear systems with time-varying state constraints. The designed ...
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

Effect of Pulsed Current on Charging Performance of Lithium-Ion Batteries

Abstract: The pulsed current has been proposed as a promising battery charging technique to improve the charging performance and maximize the lifetime for lithium-ion (Li-ion) batteries. However, the ...
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

3D-ReConstnet: A Single-View 3D-Object Point Cloud Reconstruction Network

Abstract: Object 3D reconstruction from a single-view image is an ill-posed problem. Inferring the self-occluded part of an object makes 3D reconstruction a challenging and ambiguous task. In this ...
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 ...