Deep learning-based battery health prediction for enhancing electric vehicle performance.
- DOI
- 10.1038/s41598-026-39911-8
- Published
- 2026 Feb 19
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-39911-8,
title = {Deep learning-based battery health prediction for enhancing electric vehicle performance.},
author = {Rahman T and Deb N and Moniruzzaman M and Mengash HA and Jizat NM and Rahman AAM and Al-Bawri SS},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-39911-8},
url = {https://doi.org/10.1038/s41598-026-39911-8}
}RIS
TY - JOUR TI - Deep learning-based battery health prediction for enhancing electric vehicle performance. AU - Rahman T AU - Deb N AU - Moniruzzaman M AU - Mengash HA AU - Jizat NM AU - Rahman AAM AU - Al-Bawri SS PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-39911-8 UR - https://doi.org/10.1038/s41598-026-39911-8 ER -
APA
T, R., N, D., M, M., HA, M., NM, J., AAM, R., & SS, A. (2026). Deep learning-based battery health prediction for enhancing electric vehicle performance.. Scientific reports. https://doi.org/10.1038/s41598-026-39911-8
Source records
- pubmed · retrieved 2026-09-26T02:10:33.353Z
- europe-pmc · retrieved 2026-09-26T02:10:33.359Z
- doaj · retrieved 2026-09-26T02:10:33.392Z