Ido Amihai

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 5

Top Topics

Energy Dissipation

Predictive Model

Machine Learning

Industrial Applications

Top Venues

Publications

John Joy Kurian, Marcel Dix, Ido Amihai, Glenn Ceusters, Ajinkya Prabhune
BOAT: A Bayesian Optimization AutoML Time-series Framework for Industrial Applications. BigDataService (2021)
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) (2020)
Ralf Gitzel, Ido Amihai, Marina Sofia Garcia Perez
Towards Robust ML-Algorithms for the Condition Monitoring of Switchgear. SA (2019)
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)
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)