Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jiahe Niu"'
Autor:
Jiahe Niu, Yonghao Lu, Ruikun Xu, Fang Fang, Shikai Hong, Lexin Huang, Yajun Xue, Jintao Fei, Xuegong Zhang, Boda Zhou, Ping Zhang, Rui Jiang
Publikováno v:
BMC Anesthesiology, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Objective To examine the prognostic value of HRV measurements during anesthesia for postoperative clinical outcomes prediction using machine learning models. Data sources VitalDB, a comprehensive database of 6388 surgical patients admitted t
Externí odkaz:
https://doaj.org/article/1fee9af6177e414080aea1a806dd38f3
Publikováno v:
Neurocomputing. 417:239-254
In the modern manufacturing industry, remaining useful life (RUL) prediction of the machining tools plays a significant role in promoting machining efficiency, ensuring product quality and reducing production costs. In recent years, many data-driven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a887a7e4ae19828252302cd050cf412
https://doi.org/10.1016/j.neucom.2020.06.116
https://doi.org/10.1016/j.neucom.2020.06.116
Publikováno v:
SSCI
In the field of machining, machining tool life (degree of wear) is a key factor affecting the quality of the machined workpiece. Over-protection strategies may increase production costs and cause unnecessary machining tool downtime. Therefore, if the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3687fe0ced93ce8dc759bf5383af221
https://doi.org/10.1109/ssci44817.2019.9002993
https://doi.org/10.1109/ssci44817.2019.9002993
Publikováno v:
SMC
Rotating machinery prognostics plays an important role in promoting reliability and efficiency in the operation of machinery and reducing maintenance costs. This paper proposes a novel bearing remaining useful life prediction approach which puts emph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9753be65f390d664bae441f42f18594d
https://doi.org/10.1109/smc.2019.8913840
https://doi.org/10.1109/smc.2019.8913840