Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Yang, Yongzhong"'
Publikováno v:
Dizhi lixue xuebao, Vol 30, Iss 2, Pp 348-362 (2024)
Objective Widely distributed active faults are natural carriers that produce surface-rupture events; multidisciplinary observations have revealed that geometric changes in active faults significantly influence surface-rupture development. However, pr
Externí odkaz:
https://doaj.org/article/5d6a5f92ed8b4ab49d2768cadac1cd5b
Publikováno v:
Dizhi lixue xuebao, Vol 29, Iss 6, Pp 842-855 (2023)
The alluvial fans and river terraces formed by river processes effectively record past tectonic activities, climate changes, and geomorphic evolution processes. Accurately dividing the alluvial fan into stages is the basis for the subsequent research
Externí odkaz:
https://doaj.org/article/e9350e172c1e4ebdbcc619bd0fdb562b
Publikováno v:
Zhongguo quanke yixue, Vol 25, Iss 35, Pp 4418-4424 (2022)
Background Hearing loss is highly prevalent in occupational populations, but it could be effectively prevented through early monitoring. There is still a lack of studies on the risk assessment of hearing loss. Objective To construct three risk assess
Externí odkaz:
https://doaj.org/article/43f908a1f97f409fb435913b4ea8e027
Akademický článek
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Publikováno v:
Journal of Enterprising Communities: People and Places in the Global Economy, 2021, Vol. 16, Issue 5, pp. 699-721.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JEC-08-2020-0158
Publikováno v:
SAGE Open. Oct-Dec2023, Vol. 13 Issue 4, p1-19. 19p.
Publikováno v:
Zhongguo quanke yixue, Vol 25, Iss 11, Pp 1334-1339 (2022)
BackgroundAs a leading cause of ischemic cerebrovascular disease, carotid atherosclerosis (CAS) lowers the productivity of steelworkers. An increasing number of scholars have used machine learning to identify readily available factors to predict the
Externí odkaz:
https://doaj.org/article/7a7bed1a316c43a182308e563a830980
Autor:
Liu, Li, Yang, Yongzhong, Govindarajan, Lakshmi Narasimhan, Wang, Shu, Hu, Bin, Cheng, Li, Rosenblum, David S.
Complex activity recognition is challenging due to the inherent uncertainty and diversity of performing a complex activity. Normally, each instance of a complex activity has its own configuration of atomic actions and their temporal dependencies. We
Externí odkaz:
http://arxiv.org/abs/1701.00903
Akademický článek
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Autor:
Yang, Yongzhong1 (AUTHOR), Zhong, Linling1 (AUTHOR) zhonglinling@stu.scu.edu.cn, Li, Shihui1 (AUTHOR), Yu, Aixian1 (AUTHOR)
Publikováno v:
Sensors (14248220). Aug2023, Vol. 23 Issue 15, p6824. 20p.