A Review of OBD-II-Based Machine Learning Applications for Sustainable, Efficient, Secure, and Safe Vehicle Driving.

Michailidis ET, Panagiotopoulou A, Papadakis A

DOI: 10.3390/s25134057
Published: 2025 Jun 29
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25134057,
  title = {A Review of OBD-II-Based Machine Learning Applications for Sustainable, Efficient, Secure, and Safe Vehicle Driving.},
  author = {Michailidis ET and Panagiotopoulou A and Papadakis A},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25134057},
  url = {https://doi.org/10.3390/s25134057}
}

RIS

TY  - JOUR
TI  - A Review of OBD-II-Based Machine Learning Applications for Sustainable, Efficient, Secure, and Safe Vehicle Driving.
AU  - Michailidis ET
AU  - Panagiotopoulou A
AU  - Papadakis A
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25134057
UR  - https://doi.org/10.3390/s25134057
ER  -

APA

ET, M., A, P., & A, P. (2025). A Review of OBD-II-Based Machine Learning Applications for Sustainable, Efficient, Secure, and Safe Vehicle Driving.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25134057

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pubmed · retrieved 2026-09-26T19:06:36.547Z