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A Selective RAG-Enhanced Hybrid ML-LLM Framework for Efficient and Explainable Fatigue Prediction Using Wearable Sensor Data — Europe PMC PMID:41595990

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/41595990
DOI: 10.3390/bioengineering13010058
License (as archived): solo-consultazione
Archived: 2026-10-07T16:48:06.275Z
SHA-256 of the archived text: 80a82388eeede6b3f8378625e3e2f72cef44f42a8eeaaee32cb931fbe48203c4
Stable URL of this page: https://metraipolis.com/documento/dc_deddc252ee65

How to cite

A Selective RAG-Enhanced Hybrid ML-LLM Framework for Efficient and Explainable Fatigue Prediction Using Wearable Sensor Data — Europe PMC PMID:41595990 — Europe PMC (en), https://europepmc.org/article/MED/41595990 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_deddc252ee65 (Metraipolis archive dc_deddc252ee65, sha256 80a82388eeede6b3f8378625e3e2f72cef44f42a8eeaaee32cb931fbe48203c4)

BibTeX

@misc{dcdeddc252ee65,
  title = {A Selective RAG-Enhanced Hybrid ML-LLM Framework for Efficient and Explainable Fatigue Prediction Using Wearable Sensor Data — Europe PMC PMID:41595990},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/41595990},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_deddc252ee65; sha256 80a82388eeede6b3f8378625e3e2f72cef44f42a8eeaaee32cb931fbe48203c4},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41595990. Agents can read the archived copy with the MCP tool read_document.