IEEE

Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images

Abstract: Due to the poor lighting condition and limited dynamic range of digital imaging devices, the recorded images are often under-/over-exposed and with low contrast. Most of previous single ...
IEEE

An Improved PRBS-Injection-Based Grid Impedance Measurement Method Considering Nonideal Grid Conditions

Abstract: The wide-bandwidth grid impedance measurement is a vital way in the resonance and stability analysis of the grid-tied system. However, the grid inevitably suffers from some nonideal ...
IEEE

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

Abstract: The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHRs). While primarily designed for archiving patient information and ...
IEEE

A DC–DC Multiport-Converter-Based Solid-State Transformer Integrating Distributed Generation and Storage

Abstract: The Solid-state transformer (SST) has been proposed by researchers to replace the regular distribution transformer in the future smart grid. The SST provides ports for the integration of ...
IEEE

Polycrystalline CdSeTe/CdTe Absorber Cells With 28 mA/cm

Abstract: An 800 nm CdSeTe layer was added to the CdTe absorber used in high-efficiency CdTe cells to increase the current and produce an increase in efficiency. The CdSeTe layer employed had a ...
IEEE

Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring

Abstract: Lithium ion batteries should always be prevented from overheating and, hence, thermal monitoring is indispensable. Since only the surface temperature of the battery can be measured, a ...
IEEE

Neyman–Pearson Criterion-Based Change Detection Methods for Wavelength–Resolution SAR Image Stacks

Abstract: This letter presents two new change detection (CD) methods for synthetic aperture radar (SAR) image stacks based on the Neyman–Pearson criterion. The first proposed method uses the data from ...
IEEE

Evaluation of polypropylene/polyolefin elastomer blends for potential recyclable HVDC cable insulation applications

Abstract: This paper evaluates the microstructure and properties of polypropylene/polyolefin elastomer (PP/POE) blends for potential recyclable HVDC cable insulation ...
IEEE

On-Load Field Prediction in SPM Machines by a Subdomain and Magnetic Circuit Hybrid Model

Abstract: In this article, a new subdomain and magnetic circuit hybrid model (SMCHM) is proposed for on-load field prediction in the surface-mounted permanent-magnet machines. Equivalent current ...
IEEE

Parameter-Free Deep Multi-Modal Clustering With Reliable Contrastive Learning

Abstract: Deep multi-modal clustering (DMC) expects to improve clustering performance by exploiting abundant information available from multiple modalities. However, different modalities usually have ...
IEEE

Mamba-UNet: Dual-Branch Mamba Fusion U-Net With Multiscale Spatio-Temporal Attention for Precipitation Nowcasting

Abstract: Precipitation nowcasting is a challenging task in the context of global climate variability. However, existing radar echo or numerical weather prediction data methods lack deep modeling ...
IEEE

ORB-SLAM: A Versatile and Accurate Monocular SLAM System

Abstract: This paper presents ORB-SLAM, a feature-based monocular simultaneous localization and mapping (SLAM) system that operates in real time, in small and large indoor and outdoor environments.