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Ido Amihai
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2020 – today
- 2021
- [c4]John Joy Kurian, Marcel Dix, Ido Amihai, Glenn Ceusters
, Ajinkya Prabhune:
BOAT: A Bayesian Optimization AutoML Time-series Framework for Industrial Applications. BigDataService 2021: 17-24 - 2020
- [j1]Martin W. Hoffmann
, Stephan Wildermuth, Ralf Gitzel, Aydin Boyaci, Jörg Gebhardt
, Holger Kaul, Ido Amihai, Bodo Forg, Michael Suriyah, Thomas Leibfried, Volker Stich, Jan Hicking, Martin Bremer
, Lars Kaminski, Daniel Beverungen, Philipp zur Heiden, Tanja Tornede
:
Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. Sensors 20(7): 2099 (2020)
2010 – 2019
- 2019
- [c3]Ralf Gitzel, Ido Amihai, Marina Sofia Garcia Perez:
Towards Robust ML-Algorithms for the Condition Monitoring of Switchgear. SA 2019: 1-4 - 2018
- [c2]Ido Amihai, Moncef Chioua, Ralf Gitzel, Arzam Muzaffar Kotriwala, Diego Pareschi, Guruprasad Sosale, Subanatarajan Subbiah:
Modeling Machine Health Using Gated Recurrent Units with Entity Embeddings and K-Means Clustering. INDIN 2018: 212-217 - [c1]Ido Amihai, Ralf Gitzel, Arzam Muzaffar Kotriwala, Diego Pareschi, Subanatarajan Subbiah, Guruprasad Sosale:
An Industrial Case Study Using Vibration Data and Machine Learning to Predict Asset Health. CBI (1) 2018: 178-185
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last updated on 2024-04-24 22:59 CEST by the dblp team
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