Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data
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my.utp.eprints.286692022-03-07T13:18:55Z Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data Nor, A.K.M. Pedapati, S.R. Muhammad, M. Leiva, V. MDPI 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124729775&doi=10.3390%2fmath10040554&partnerID=40&md5=a1656ffe9430765b994ee7e07163c7ff Nor, A.K.M. and Pedapati, S.R. and Muhammad, M. and Leiva, V. (2022) Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data. Mathematics, 10 (4). http://eprints.utp.edu.my/28669/ |
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Nor, A.K.M. Pedapati, S.R. Muhammad, M. Leiva, V. |
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Nor, A.K.M. Pedapati, S.R. Muhammad, M. Leiva, V. Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data |
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Nor, A.K.M. Pedapati, S.R. Muhammad, M. Leiva, V. |
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Nor, A.K.M. |
title |
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data |
title_short |
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data |
title_full |
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data |
title_fullStr |
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data |
title_full_unstemmed |
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data |
title_sort |
abnormality detection and failure prediction using explainable bayesian deep learning: methodology and case study with industrial data |
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MDPI |
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2022 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124729775&doi=10.3390%2fmath10040554&partnerID=40&md5=a1656ffe9430765b994ee7e07163c7ff http://eprints.utp.edu.my/28669/ |
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