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Enhanced Human Activity Recognition Using Wearable Sensors via a Hybrid Feature Selection Method — Europe PMC PMID:34640754

Source
Europe PMC (en)
Original
https://europepmc.org/article/MED/34640754
DOI
10.3390/s21196434
License (as archived)
solo-consultazione
Archived
2026-10-08T06:59:14.438Z
SHA-256 of the archived text
1132363f4fa6b8e1e642b921367b6500b469857ac049ac00727595fc9900b4b5
Stable URL of this page
https://metraipolis.com/documento/dc_e380dffca27f

How to cite

Enhanced Human Activity Recognition Using Wearable Sensors via a Hybrid Feature Selection Method — Europe PMC PMID:34640754 — Europe PMC (en), https://europepmc.org/article/MED/34640754 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_e380dffca27f (Metraipolis archive dc_e380dffca27f, sha256 1132363f4fa6b8e1e642b921367b6500b469857ac049ac00727595fc9900b4b5)
BibTeX
@misc{dce380dffca27f,
  title = {Enhanced Human Activity Recognition Using Wearable Sensors via a Hybrid Feature Selection Method — Europe PMC PMID:34640754},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/34640754},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_e380dffca27f; sha256 1132363f4fa6b8e1e642b921367b6500b469857ac049ac00727595fc9900b4b5},
  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/34640754. Agents can read the archived copy with the MCP tool read_document.