Baohua Zhang

Design of a New HVOF Spraying Gun and Its Application in Preparation of CoNiCrAlY Bond Coat for Thermal Barrier Coatings

Z.M. Song, Shilin Xu, Song Chen, Hongyu Ma et autres

cn (code pays fourni par la source)

Recent advances in crop pest detection, forecasting and early warning: A review

Yuanyuan Yang, Liping Chen, Zhihua Diao, Pan Gao et autres

Crop insect pests are critical biotic stressors disrupting plant physiological functions. Their infestations not only cause direct yield losses but also threaten global food security and agricultural economy. Therefore, rapid and accurate pest detection and the ability to predict infestations and issue …

cn (code pays fourni par la source)

Confidential Determination of AGV and Elliptical Forbidden Area Position in Intelligent Warehousing Scheme

Yilai Lian, Xin Liu, Lanying Liang, Wei Ye et autres

cn (code pays fourni par la source)

Confidential Computing Graph Similarity Protocol Under the Malicious Model and Its Applications in Blockchain

Xin Liu, Anyang Qi, Lanying Liang, Lu Peng et autres

cn (code pays fourni par la source)

Accelerating Transformer Fault Diagnosis Method Based on Data and Mechanism

Min Zheng, Chunpeng Wu, Long Lin, W Liu et autres

cn (code pays fourni par la source)

Prototype-driven hierarchical skeleton modeling for visible-infrared person Re-identification

Jiaxing Pan, Baohua Zhang

cn (code pays fourni par la source)

GRMA-Net: A novel two-stage 3D Semi-supervised Pneumonia Segmentation based on Dual Multiscale Uncertainty Estimation with Graph Reasoning in Chest CTs

Yu Gu, Lidong Yang, Baohua Zhang, Jing Wang et autres

INTRODUCTION: This study aims to propose and evaluate a two-stage semi-supervised segmentation framework with dual multiscale uncertainty estimation and graph reasoning, addressing the challenges of obtaining high-precision pixel-level labels and effectively utilizing unlabeled data for accurate pneumonia lesion segmentation. METHODS: First, we …

cn (code pays fourni par la source)

WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules

Yu Gu, Haotian Bai, Meng Chen, Lidong Yang et autres

Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneumonia require distinct treatment strategies. Early and precise diagnosis is crucial for minimizing the risk of misdiagnosis and for effectively guiding clinical decision-making and monitoring treatment response. This study …

cn (code pays fourni par la source)

TopoMAS: Large Language Model Driven Topological Materials Multiagent System

Baohua Zhang, Lin Xin, Huangchao Xu, Zhong Jin et autres

ABTRACT The discovery of topological materials is severely hampered by fragmented research workflows that cause information loss, inconsistent reasoning, and frequent computational failures. To overcome these barriers, we present TopoMAS, an interactive multi‐agent framework that unifies the entire discovery pipeline through human–AI …

A novel multimodal computer-aided diagnostic model for pulmonary embolism based on hybrid transformer-CNN and tabular transformer

Yu Gu, Hao Ma, Lidong Yang, Baohua Zhang et autres

cn (code pays fourni par la source)

Joule Heating-Driven sp2-C Domains Modulation in Biomass Carbon for High-Performance Bifunctional Oxygen Electrocatalysis

Jiawei He, Yuying Zhao, Lijun Yang, Qixin Yuan et autres

Abstract Natural biomass-derived carbon material is one promising alternative to traditional graphene-based catalyst for oxygen electrocatalysis. However, their electrocatalytic performance were constrained by the limited modulating strategy. Herein, using N-doped commercial coconut shell-derived activated carbon (AC) as catalyst model, the controllably enhanced …

cn, us (code pays fourni par la source)

Noise correspondence with evidence learning for text-based person search

Yihan Xie, Baohua Zhang, Li Yang, Shun Wang et autres

cn (code pays fourni par la source)