Hao Li

Fabrication and Optimization of Aerosol-Jet-Printed Temperature Sensors on Carbon Fiber-Reinforced Composites

Jian Wang, Guangyin Yu, Jinqiang Ai, Hao Li et autres

Carbon fiber-reinforced composite (CFRP) exhibits high specific strength and excellent fatigue resistance, demonstrating broad application prospects. Direct fabrication of microscale sensors on CFRP surfaces has significant implications for structural health monitoring and functional integration. However, fabricating sensors on CFRP remains challenging due …

cn, gb (code pays fourni par la source)

From geometric mimicry to comprehensive generation: a context-informed multimodal diffusion model for urban morphology synthesis

Fangshuo Zhou, Hao Li, Liuchang Xu, Rui Hu et autres

cn, np, us (code pays fourni par la source)

Para-SegFormer: A Dual-Branch Progressive Fusion Network for High-Performance Leather Defect Segmentation

Xiao Ou, Hao Li, Xueting Zhang, Yuchen Zhao et autres

To address the issues of semantic discontinuity and detail loss in global leather surface defect segmentation tasks, we propose a leather defect detection method called Para-SegFormer, which is based on parallel branch feature extraction. First, parallel network branches are introduced, with an …

cn (code pays fourni par la source)

Nondestructive Identification of Eggshell Cracks Using Hyperspectral Imaging Combined with Attention-Enhanced 3D-CNN

Hao Li, Chongkai Liu, Jun Huang, Yong Ma et autres

Eggshell cracks are a critical factor affecting egg quality and food safety, with traditional detection methods often struggling to detect fine cracks, especially under multi-colored shells and complex backgrounds. To address this issue, we propose a non-destructive detection approach based on an …

cn (code pays fourni par la source)

Cross-Temporal Egg Variety and Storage Period Classifications via Multi-Task Deep Learning with Near-Infrared Hyperspectral Imaging

Chongkai Liu, Hao Li, Fan Fan, Yong Ma et autres

Egg variety and storage duration are key determinants of nutritional value, market pricing, and food safety. The similar external appearance of different varieties increases the risk of mislabeling, while inevitable quality deterioration during storage further complicates reliable assessment. These factors underscore the …

cn (code pays fourni par la source)

First Example of a Coordination Polymer Based on a Tetrahedral Cluster Cyano Complex of Re, Ag(I), bpy

А. В. Ермолаев, Hao Li, Baigang An, Yuri V. Mironov

Abstract Single crystals of Na2[{Ag(bpy)2}{Ag(H2O)}{Ag3(bpy)2(μ-CN)}{Re4As2S2(CN)12}]·2.75H2O are prepared by the reaction of the Na6[Re4As2S2(CN)12]·0.75CH3OH·6H2O tetrahedral cluster cyano complex, AgCN, NaCN and bpy (2,2′-bipyridine) in an aqueous solution. The obtained compound is the first example of a coordination polymer based on a tetrahedral cluster …

ru, cn (code pays fourni par la source)

InvMOE: MOEs Based Invariant Representation Learning for Fault Detection in Converter Stations

Hao Sun, Shaosen Li, Hao Li, Jianxiang Huang et autres

Converter stations are pivotal in high-voltage direct current (HVDC) systems, enabling power conversion between an alternating current (AC) and a direct current (DC) while ensuring efficient and stable energy transmission. Fault detection in converter stations is crucial for maintaining their reliability and …

cn (code pays fourni par la source)

Dynamic Spatial–Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems

Hao Sun, Shaosen Li, Jianxiang Huang, Hao Li et autres

Predicting the cooling capacity of converter valves is crucial for maintaining the stability and efficiency of high-voltage direct current (HVDC) systems. This task involves handling complex, multi-dimensional time-series data with strong inter-variable dependencies and temporal dynamics. Traditional machine learning methods, while effective …

cn (code pays fourni par la source)

Electric Field Applications for Drag Reduction and Throughput Improvement in Crude Oil Pipeline Networks

Junfang Wang, Danfu Cao, S. T. Wu, Hao Li

A novel perturbation-based degraded image super-resolution method for object recognition in intelligent transportation system

Chengyu Zhang, Shan Zeng, Zhiguang Yang, Yulong Chen et autres

cn, mo (code pays fourni par la source)

InvMOE: MOEs Based Invariant Representation Learning for Fault Detection in Converter Stations

Hao Sun, Shaosen Li, Hao Li, Jianxiang Huang et autres

Converter stations are pivotal in High Voltage Direct Current (HVDC) systems, enabling power conversion between Alternating Current (AC) and Direct Current (DC), while ensuring efficient and stable energy transmission. Fault detection in converter stations is crucial for maintaining their reliability and operational …

Dynamic Spatial-Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems

Hao Sun, Shaosen Li, Jianxiang Huang, Hao Li et autres

Predicting the cooling capacity of converter valves is crucial for maintaining the stability and efficiency of high-voltage direct current (HVDC) systems. This task involves handling complex, multi-dimensional time-series data with strong inter-variable dependencies and temporal dynamics. Traditional machine learning methods, while effective …