HybridoNet-Adapt: A domain-adapted framework for accurate lithium-ion battery RUL prediction.

Tran K, Huynh B, Le T, Pham L, Nguyen VR, Tran Anh D, Trinh HC

DOI: 10.1371/journal.pone.0335066
Published: 2025
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0335066,
  title = {HybridoNet-Adapt: A domain-adapted framework for accurate lithium-ion battery RUL prediction.},
  author = {Tran K and Huynh B and Le T and Pham L and Nguyen VR and Tran Anh D and Trinh HC},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0335066},
  url = {https://doi.org/10.1371/journal.pone.0335066}
}

RIS

TY  - JOUR
TI  - HybridoNet-Adapt: A domain-adapted framework for accurate lithium-ion battery RUL prediction.
AU  - Tran K
AU  - Huynh B
AU  - Le T
AU  - Pham L
AU  - Nguyen VR
AU  - Tran Anh D
AU  - Trinh HC
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0335066
UR  - https://doi.org/10.1371/journal.pone.0335066
ER  -

APA

K, T., B, H., T, L., L, P., VR, N., D, T. A., & HC, T. (2025). HybridoNet-Adapt: A domain-adapted framework for accurate lithium-ion battery RUL prediction.. PloS one. https://doi.org/10.1371/journal.pone.0335066

Source records

pubmed · retrieved 2026-09-25T23:00:53.764Z