Remaining useful life prediction based on state assessment using edge computing on deep learning-Reference-Cited by-同舟云学术

Remaining useful life prediction based on state assessment using edge computing on deep learning

Published:2020-07 Issue: Volume:160 Page:91-100
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Hsu Hsin-Yao,Srivastava Gautam,Wu Hsin-Te,Chen Mu-Yen

Funder

Ministry of Science and Technology of Taiwan

Applying Deep Learning and Sentiment Mining Analysis to Construct the Social Network Financial Behavior Prediction Model

Publisher

Elsevier BV

Subject

Computer Networks and Communications

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