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Theoretical Comparison and Machine Learning Based Predictions on Li-Ion Battery’s Health Using NASA-Battery Dataset by K. M. Chaturvedi; Rohit Mathew Samuel; O. D. Jayakumar; Aryadevi Remanidevi Devidas is a engineering available to read on EtoBox.
What is Theoretical Comparison and Machine Learning Based Predictions on Li-Ion Battery’s Health Using NASA-Battery Dataset about?
<p>This book presents peer reviewed articles from The International Conference on Metallurgical Engineering and Centenary Celebration (METCENT 2023), held at Indian Institute of Technology (BHU) Varanasi, India from the 26-28th of October 2023. It covers wide areas of metallurgical and materials science, highlighting recent advancements in these areas, including but not limited to Advanced Steels, Computational Material Science, Recent Ferrous/Non-Ferrous Metallurgy Processes, Green Iron and Ste
Who reads Theoretical Comparison and Machine Learning Based Predictions on Li-Ion Battery’s Health Using NASA-Battery Dataset?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- K. M. Chaturvedi; Rohit Mathew Samuel; O. D. Jayakumar; Aryadevi Remanidevi Devidas
- Publisher
- Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
- Published
- 2023
- Language
- EN
- ISBN
- 9789819968633
- Category
- engineering
- Subjects
- Engineering, Science, Thin Films, Surfaces & Interfaces
- Updated
- 2026-03-25
More by K. M. Chaturvedi; Rohit Mathew Samuel; O. D. Jayakumar; Aryadevi Remanidevi Devidas
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