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Gentle Correctness Verification of the Theory of Uncertain Event Prognosis to Compute Failure Time Probability
Author(s) -
David E. Acuña-Ureta,
Marcos E. Orchard
Publication year - 2022
Publication title -
proceedings of the annual conference of the prognostics and health management society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.18
H-Index - 11
ISSN - 2325-0178
DOI - 10.36001/phmconf.2022.v14i1.3175
Subject(s) - correctness , event (particle physics) , benchmark (surveying) , computer science , probabilistic logic , python (programming language) , prognostics , hazard , applied probability , algorithm , data mining , mathematics , statistics , artificial intelligence , programming language , chemistry , physics , geodesy , organic chemistry , quantum mechanics , geography

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