Zobrazeno 1 - 10
of 373
pro vyhledávání: '"Yue Ye"'
Autor:
Chang-Yu Yan, Yue Ye, Han-Lu Mu, Tong Wu, Wen-Shan Huang, Yan-Ping Wu, Wan-Yang Sun, Lei Liang, Wen-Jun Duan, Shu-Hua Ouyang, Rui-Ting Huang, Rong Wang, Xin-Xin Sun, Hiroshi Kurihara, Yi-Fang Li, Rong-Rong He
Publikováno v:
iScience, Vol 27, Iss 1, Pp 108690- (2024)
Summary: Prenatal stress has been extensively documented as a contributing factor to adverse cardiac development and function in fetuses and infants. The release of glucocorticoids (GCs), identified as a significant stressor, may be a potential facto
Externí odkaz:
https://doaj.org/article/4f040f8bd0dc4c029d643c6a43750878
Publikováno v:
Interkulturelles Forum der deutsch-chinesischen Kommunikation, Vol 2, Iss 2, Pp 265-285 (2023)
Im Rahmen der Fördermaßnahme „Innovative Konzepte zum Ausbau der China-Kompetenz an deutschen Hochschulen“ des Bundesministeriums für Bildung und Forschung, wurde 2018 ein China-Kompetenzzentrum an der TU Clausthal errichtet. Mit dem Ziel die
Externí odkaz:
https://doaj.org/article/56b8ae66254848f8a0f6bd2e3bc34839
Publikováno v:
矿业科学学报, Vol 5, Iss 1, Pp 122-130 (2020)
In order to realize the utilization of solid waste resource.A novel adsorbent, buckwheat shell-based activated carbon has been developed by chemical activation when applying waste buckwheat hull as thraw material.The authors optimized the activation
Externí odkaz:
https://doaj.org/article/f6683762f58b4196822486465df4032d
The field of machine learning has been greatly transformed with the advancement of deep artificial neural networks (ANNs) and the increased availability of annotated data. Spiking neural networks (SNNs) have recently emerged as a low-power alternativ
Externí odkaz:
http://arxiv.org/abs/2303.12738
Autor:
Yue, Ye, Baltes, Marc, Abujahar, Nidal, Sun, Tao, Smith, Charles D., Bihl, Trevor, Liu, Jundong
Over the past decade, artificial neural networks (ANNs) have made tremendous advances, in part due to the increased availability of annotated data. However, ANNs typically require significant power and memory consumptions to reach their full potentia
Externí odkaz:
http://arxiv.org/abs/2302.07328
Collision avoidance is a crucial task in vision-guided autonomous navigation. Solutions based on deep reinforcement learning (DRL) has become increasingly popular. In this work, we proposed several novel agent state and reward function designs to tac
Externí odkaz:
http://arxiv.org/abs/2210.06377
Autor:
Xian-Dan Wu, Xin-Yue Ye, Xuan-Yan Liu, Yue Lin, Xian Lin, Yan-Yan Li, Bin-Hua Ye, Jing-Chao Sun
Publikováno v:
Annals of Medicine, Vol 56, Iss 1 (2024)
Background Previous meta-analyses have investigated the efficacy of lipid-lowering therapies for atherosclerotic cardiovascular disease; however, few have focused on patients with acute coronary syndrome (ACS). This meta-analysis aimed to compare the
Externí odkaz:
https://doaj.org/article/b648df41fedd4f3e80b406d279854710
Publikováno v:
In Information and Software Technology October 2024 174
Autor:
Ru, Zhengzheng, Peng, Meilan, Amzil, Said, Luo, Shengyao, Xu, Tonghui, Yue, Ye, Wu, Mengqi, Cheng, Ya-Jun, Xia, Yonggao
Publikováno v:
In Energy Storage Materials June 2024 70
Akademický článek
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