Machine Learning Models for Predicting Remaining Useful Life of Eelectronic Viechles Lithium-Ion Batteries for Stakeholders

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Authors: Ali Sina Saifi, Fahima Ahmadi, Ibragim Kuandykov, Berik Zayniddinov
Cited by: 0

Fields of Study & Subjects

Advanced Battery Technologies Research Reliability and Maintenance Optimization Machine Fault Diagnosis Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026
Language
EN