Crossmark

AI-driven predictive maintenance for connected vehicles using environmental context integration evaluated through simulation benchmarking and field validation

Crossref DOI link: https://doi.org/10.1007/s44465-026-00023-2

Published Online: 2026-06-21

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Khemani, Kushal

Qureshi, Anjum Nazir
License Information

Text and Data Mining valid from 2026-06-21

Version of Record valid from 2026-06-21
More Information

Article History

Received: 4 April 2026

Revised: 12 June 2026

Accepted: 16 June 2026

First Online: 21 June 2026

Declarations

:

: Not applicable. This study does not involve human participants, animals, or sensitive personal data; no ethical approval was required.

: Not applicable.

: The authors declare that they have no conflict of interest.

Document is current

Any future updates will be listed below