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pro vyhledávání: '"Yon S. Kim"'
Autor:
Donghwan Yun, Semin Cho, Yong C Kim, Dong K Kim, Kook-Hwan Oh, Kwon W Joo, Yon S Kim, Seung S Han
BACKGROUND Precise prediction of contrast media–induced acute kidney injury (CIAKI) is an important issue because of its relationship with poor outcomes. OBJECTIVE Herein, we examined whether a deep learning algorithm could predict the risk of intr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6307216e8f7d3381414192a3d5ef7d44
https://doi.org/10.2196/preprints.27177
https://doi.org/10.2196/preprints.27177
Autor:
William J. Kolarik, Yon S. Kim
Publikováno v:
International Journal of Production Research. 30:1831-1844
This paper presents results from research aimed at developing a real-time, ‘look ahead’ reliability measure of risk relative to tool wear or breakage. The objective is to present results of a successful research effort which has developed a real-