Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mulugeta Weldezgina Asres"'
Autor:
Mulugeta Weldezgina Asres, Christian Walter Omlin, Long Wang, David Yu, Pavel Parygin, Jay Dittmann, Georgia Karapostoli, Markus Seidel, Rosamaria Venditti, Luka Lambrecht, Emanuele Usai, Muhammad Ahmad, Javier Fernandez Menendez, Kaori Maeshima, the CMS-HCAL Collaboration
Publikováno v:
Sensors, Vol 23, Iss 24, p 9679 (2023)
The Compact Muon Solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the Large Hadron Collider (LHC) at CERN. It employs an online data quality monitoring (DQM) system to promptly spot and diagnose particle data acqui
Externí odkaz:
https://doaj.org/article/e76afd8526164a548b0af49997b91372
Autor:
Mulugeta Weldezgina Asres, Grace Cummings, Aleko Khukhunaishvili, Pavel Parygin, Seth I. Cooper, David Yu, Jay Dittmann, Christian W. Omlin
Publikováno v:
Proceedings of the European Conference of the Prognostics and Health Management Society (PHME)
Predictive maintenance is essential for complex industrial systems to foresee anomalies before major system faults or ultimate breakdown. However, the existing efforts on Industry 4.0 predictive monitoring are directed at semi-supervised anomaly dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff9e02685098632e9558335be42f61e2
https://doi.org/10.36001/phme.2022.v7i1.3367
https://doi.org/10.36001/phme.2022.v7i1.3367
Computational Cost Analysis and Data-Driven Predictive Modeling of Cloud-based Online NILM Algorithm
Online non-intrusive load monitoring methods have captivated academia and industries as parsimonious solutions for household energy efficiency monitoring as well as safety control, anomaly detection, and demand-side management. However, despite the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afa34aa79371c8f924bfd3b458fd8a29
https://hdl.handle.net/11583/2862071
https://hdl.handle.net/11583/2862071
Autor:
Mulugeta Weldezgina Asres, Grace Cummings, Pavel Parygin, Aleko Khukhunaishvili, Maria Toms, Alan Campbell, Seth I. Cooper, David Yu, Jay Dittmann, Christian W. Omlin
Publikováno v:
2021 IEEE International Conference on Progress in Informatics and Computing (PIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97abdb3dc3facea338a2486be0803a6b
https://doi.org/10.1109/pic53636.2021.9687034
https://doi.org/10.1109/pic53636.2021.9687034
Autor:
Million Abayneh Mengistu, Mulugeta Weldezgina Asres, Enrico Macii, Andrea Acquaviva, Edoardo Patti, Lorenzo Bottaccioli, Pino Castrogiovanni
Fault alarm data emanated from heterogeneous telecommunication network services and infrastructures are exploding with network expansions. Managing and tracking the alarms with trouble tickets using manual or expert rule-based methods have become cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::954d44bd758d86eef4efc5bde46b6254
http://hdl.handle.net/11585/791206
http://hdl.handle.net/11585/791206