Zobrazeno 1 - 10 of 1 929 pro vyhledávání: '"Yong-An Xue"'
1
Akademický článek
Regional subsidence monitoring and prediction along high-speed railways based on PS-InSAR and LSTM
Autor: Yong-An Xue, You-Feng Zou, Hai-Ying Li, Wen-Zhi Zhang
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The rapid construction of high-speed railways in China has forced more and more routes to pass through slow subsidence zones caused by groundwater extraction or underground mining. It is crucial to carry out deformation monitoring and predic
Externí odkaz: https://doaj.org/article/4e4ab00a61994851951fcfb723fd2bd0
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7
Akademický článek
'Discussion on curing mechanism of triazine curing system
Autor: LIU Hai-hong, QUE Yong-chan, XUE Bing-feng, CUI Zhe, LIU Min-ying, FU Peng
Publikováno v: Hecheng xiangjiao gongye, Vol 45, Iss 4, Pp 303-308 (2022)
Under the condition of changing amount of 2-dibutylamino-4,6-dimercapto-s-triazine （curing agent DB） and magnesium oxide alternately, the curing characteristics and physical and mechanical properties of chlorinated butyl rubber cured with them we
Externí odkaz: https://doaj.org/article/24f0b0b6665a4fb8ae4a018145a6c2d1
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8
Akademický článek
Retentive capacity of power output and linear versus non-linear mapping of power loss in the isotonic muscular endurance test
Autor: Hong-qi Xu, Yong-tai Xue, Zi-jian Zhou, Koon Teck Koh, Xin Xu, Ji-peng Shi, Shou-wei Zhang, Xin Zhang, Jing Cai
Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract The limit of dynamic endurance during repetitive contractions has been referred to as the point of muscle fatigue, which can be measured by mechanical and electrophysiological parameters combined with subjective estimates of load tolerance f
Externí odkaz: https://doaj.org/article/66adf6c217074a5eae9f4b5d2dba16f1
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9
Akademický článek
Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles
Autor: Xing-Rui Wang, Xi Ma, Liu-Xu Jin, Yan-Jun Gao, Yong-Jie Xue, Jing-Long Li, Wei-Xian Bai, Miao-Fei Han, Qing Zhou, Feng Shi, Jing Wang
Publikováno v: Frontiers in Neuroinformatics, Vol 16 (2022)
ObjectiveTo explore the feasibility of a deep learning three-dimensional (3D) V-Net convolutional neural network to construct high-resolution computed tomography (HRCT)-based auditory ossicle structure recognition and segmentation models.MethodsThe t
Externí odkaz: https://doaj.org/article/d1240dff04284e8289d83c3e717ee060
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10
Dissertation/ Thesis
A simulation system of vascular interventional radiology procedures for training endovascular skills.
为了建立一套高仿真的介入手术训练模拟器，首先，我们要为病人的血管网重建三维模型。我们提出了一种自动的提取中心线的方法，用来从分割好的CTA/MRA体数据中获取病人血管网的中心线
Externí odkaz: http://library.cuhk.edu.hk/record=b5549396
http://repository.lib.cuhk.edu.hk/en/item/cuhk-328074
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Plný text Recenzováno Digitální knihovna AV ČR
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