Retraction Notice: Monitoring of operational conditions of fuel cells by using machine learning.

Authors

  • Andip Babanrao Shrote MIT ADT University
  • K Kiran Kumar Chalapathi Institute of Engineering and Technology
  • Chamandeep Kaur Jazan University
  • Mohammed Saleh Al Ansari University of Bahrain
  • Pallavi Singh Graphic Era University
  • Bramah Hazela Amity University
  • Madhu G C Mohan Babu University

DOI:

https://doi.org/10.4108/eetiot.7176

Abstract

The article Monitoring of operational conditions of fuel cells by using machine learning has been retracted at the request of EAI's Research Integrity Committee on the grounds of plagiarism.

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Published

04-09-2024

Issue

Vol. 10 (2024): EAI Endorsed Transactions on Internet of Things

Section

Retractions

License

Copyright (c) 2024 EAI Endorsed Transactions on Internet of Things

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 4.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.

How to Cite

1.
Shrote AB, Kumar KK, Kaur C, Al Ansari MS, Singh P, Hazela B, et al. Retraction Notice: Monitoring of operational conditions of fuel cells by using machine learning. EAI Endorsed Trans IoT [Internet]. 2024 Sep. 4 [cited 2025 Nov. 4];10. Available from: https://publications.eai.eu/index.php/IoT/article/view/7176

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