Ido Amihai

According to our database, Ido Amihai authored at least 5 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

BOAT: A Bayesian Optimization AutoML Time-series Framework for Industrial Applications.

John Joy Kurian, Marcel Dix, Ido Amihai, Glenn Ceusters, Ajinkya Prabhune

Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021

2020

Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions.

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

Sensors, 2020

2019

Towards Robust ML-Algorithms for the Condition Monitoring of Switchgear.

Ralf Gitzel, Ido Amihai, Marina Sofia Garcia Perez

Proceedings of the First International Conference on Societal Automation, 2019

2018

An Industrial Case Study Using Vibration Data and Machine Learning to Predict Asset Health.

Ido Amihai, Ralf Gitzel, Arzam Muzaffar Kotriwala, Diego Pareschi, Subanatarajan Subbiah, Guruprasad Sosale

Proceedings of the 20th IEEE Conference on Business Informatics, 2018

Modeling Machine Health Using Gated Recurrent Units with Entity Embeddings and K-Means Clustering.

Ido Amihai, Moncef Chioua, Ralf Gitzel, Arzam Muzaffar Kotriwala, Diego Pareschi, Guruprasad Sosale, Subanatarajan Subbiah

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018