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Chain reactions from the 

impact of our business

Industrial AI and Deep Learning enables us to be more accurate and fast in our prognostics and decision-making. We achieve results through early stage self-learning and evolutionary re-learning. Beyond these technical accomplishments, we take pride in sharing the initiatives our company is undertaking. This page will serve as a key channel to communicate our ongoing initiatives.


Chain reactions from the 

impact of our business

Industrial AI and Deep Learning enables us to be more accurate and fast in our prognostics and decision-making. We achieve results through early stage self-learning and evolutionary re-learning. Beyond these technical accomplishments, we take pride in sharing the initiatives our company is undertaking. This page will serve as a key channel to communicate our ongoing initiatives.



Publications Engineering Design under Uncertainty and Health Prognostics

Springer Series in Reliability Engineering


© 2019

Engineering Design under Uncertainty and Health Prognostics

Authors: Hu, Chao, Youn, Byeng D., Wang, Pingfeng




Presents a comprehensive, up-to-date description of probabilistic analysis and design methods

Conveys a practical understanding of how uncertainties in system inputs can be efficiently and accurately propagated to uncertainties in system responses for reliability analysis and design

Contains hundreds of graphics illustrating technical concepts, procedures, and analysis of results




https://www.springer.com/gp/book/9783319925721#aboutBook

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Location  Bldg. 511, #940, Seoul Natl. Univ., 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea

Copyright (c) OnePredict Inc. All Rights Reserved.