Lei Hua, a passionate and curious student studying Software Engineering at NCEPU.
My website showcases a wide range of interests and research in various fields, spanning software and hardware, computing and communications, design and production. These demonstrate my ability to provide innovative solutions to real-world problems.
My goal is to explore interdisciplinary intersections and contribute to scientific and societal progress.
Abstract: Aiming at the existing blind image quality evaluation algorithms with low performance in the face of real distorted images, this paper proposes the multi-level feature fusion and semantic information enhancement for NR (MFFSE-NR), which combines multi-layer feature fusion and semantic enhancement for NR. The local and global distortion features
Blind Image Quality Evaluation with Multi-Layer Feature Fusion and Semantic Enhancement Find more»
Abstract: In order to reduce the impact and improve the detection efficiency of transformer oil leakage inspection images, a transformer oil leakage detection model based on depth-separable void convolution pyramid is proposed. Firstly, the ordinary convolutional blocks in the cavity pyramid are modified to depth-separable convolutional blocks, so as to
Transformer Oil Leakage Detection Based on Depth Separable Void Convolutional Pyramid Find more»
Abstract: Electric vehicle charging is an important constituent of electric vehicles to provide power, and giving electric vehicles the most convenient charging path planning service is an indispensable part of the development of electric vehicles. Considering the conditions of transportation network, distribution network and electric vehicle itself as the hindering clay
Electric Vehicle Charging Path Planning Study Find more»