A hybrid unified decoding analytics system for end-of-life strategies in mass-produced EV battery projects
- DOI
- 10.1038/s41598-026-44597-z
- Published
- 2026-03-20
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-44597-z,
title = {A hybrid unified decoding analytics system for end-of-life strategies in mass-produced EV battery projects},
author = {Hasan Dinçer and Serhat Yüksel and Edmundas Kazimieras Zavadskas and Edanur Ergün and Serkan Eti},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-44597-z},
url = {https://doi.org/10.1038/s41598-026-44597-z}
}RIS
TY - JOUR TI - A hybrid unified decoding analytics system for end-of-life strategies in mass-produced EV battery projects AU - Hasan Dinçer AU - Serhat Yüksel AU - Edmundas Kazimieras Zavadskas AU - Edanur Ergün AU - Serkan Eti PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-44597-z UR - https://doi.org/10.1038/s41598-026-44597-z ER -
APA
Dinçer, H., Yüksel, S., Zavadskas, E. K., Ergün, E., & Eti, S. (2026). A hybrid unified decoding analytics system for end-of-life strategies in mass-produced EV battery projects. Scientific Reports. https://doi.org/10.1038/s41598-026-44597-z
Source records
- crossref · retrieved 2026-09-27T02:21:39.704Z