Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hailun Shen"'
Autor:
Lin Xie, Jiayong Chen, Jing Dai, Wenfeng Zhang, Lunxin Chen, Jian Sun, Xiang Gao, Junyi Song, Hailun Shen
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
ObjectiveThis meta-analysis examines the impact of different combinations of plyometric training (complexity, training volume, and rest intervals) on immediate vertical jump and sprint performance in athletes.MethodsA systematic search was conducted
Externí odkaz:
https://doaj.org/article/788249dd69664708b5125f51189f1507
Publikováno v:
Intelligent Data Analysis. 27:103-120
Named entity recognition (NER) as a crucial technology is widely used in many application scenarios, including information extraction, information retrieval, text summarization, and machine translation assisted in AI-based smart communication and net
Publikováno v:
2022 China Automation Congress (CAC).
Publikováno v:
Computer Modeling in Engineering & Sciences. 129:47-63
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030675363
Mature artificial intelligence (AI) makes human life more and more convenient. However, in some application fields, it is impossible to achieve the satisfactory results only depending on the traditional AI algorithm. Specifically, in order to avoid t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10d53a451abf9d99d02c44999e9802a2
https://doi.org/10.1007/978-3-030-67537-0_1
https://doi.org/10.1007/978-3-030-67537-0_1
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030926373
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c18f3d67a67e0c60599f17923f863fa6
https://doi.org/10.1007/978-3-030-92638-0_12
https://doi.org/10.1007/978-3-030-92638-0_12
Autor:
Hailun Shen, Hua Xiang
Publikováno v:
Numerical Linear Algebra with Applications. 22:1020-1038
Summary In this paper, we extend the inexact Uzawa algorithm of Hu and Zou to the nonsymmetric generalized saddle point problem (SPP). The techniques used here are similar with those in the paper of Bramble et al., where the convergence of Uzawa type