An ML-driven framework for continuous wearable health surveillance and energy-efficient communication.

Aljohani N

DOI: 10.1038/s41598-026-52572-x
Published: 2026 May 11
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-52572-x,
  title = {An ML-driven framework for continuous wearable health surveillance and energy-efficient communication.},
  author = {Aljohani N},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-52572-x},
  url = {https://doi.org/10.1038/s41598-026-52572-x}
}

RIS

TY  - JOUR
TI  - An ML-driven framework for continuous wearable health surveillance and energy-efficient communication.
AU  - Aljohani N
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-52572-x
UR  - https://doi.org/10.1038/s41598-026-52572-x
ER  -

APA

N, A. (2026). An ML-driven framework for continuous wearable health surveillance and energy-efficient communication.. Scientific reports. https://doi.org/10.1038/s41598-026-52572-x

Source records

pubmed · retrieved 2026-09-25T22:52:51.803Z