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

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

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

Range-to-go weighted optimal guidance with impact angle constraint and seeker's look angle limits

Abstract: In this paper, an impact angle control guidance law, which considers simultaneously the impact angle and seeker's look angle constraints, is proposed for a constant speed missile against a ...
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

Image-Integrated Magnetic Actuation Systems for Localization and Remote Actuation of Medical Miniature Robots: A Survey

Abstract: Magnetic miniature robots are promising tools for minimally invasive and noninvasive therapy. Constructing systems with actuation–perception loops is an essential step to progress from ...
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

Dynamic Graph Variational Sparse Coding for Power Distribution Network Fault Location and Classification

Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs). Current machine learning works cannot provide accurate and ...
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 ...