Advances in Machine Learning Paradigms for Reliable Swimming Pool Drowning Detection: Systematic Review of Methods and Implementations
- DOI
- 10.2196/100939
- Published
- 2026-11-03
- Container
- JMIR Rehabilitation and Assistive Technologies
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/100939,
title = {Advances in Machine Learning Paradigms for Reliable Swimming Pool Drowning Detection: Systematic Review of Methods and Implementations},
author = {Mercy Chepkorir and Idah Orowe and Elisha Abade and Timothy Kamanu},
year = {2026},
journal = {JMIR Rehabilitation and Assistive Technologies},
doi = {10.2196/100939},
url = {https://doi.org/10.2196/100939}
}RIS
TY - JOUR TI - Advances in Machine Learning Paradigms for Reliable Swimming Pool Drowning Detection: Systematic Review of Methods and Implementations AU - Mercy Chepkorir AU - Idah Orowe AU - Elisha Abade AU - Timothy Kamanu PY - 2026 JO - JMIR Rehabilitation and Assistive Technologies DO - 10.2196/100939 UR - https://doi.org/10.2196/100939 ER -
APA
Chepkorir, M., Orowe, I., Abade, E., & Kamanu, T. (2026). Advances in Machine Learning Paradigms for Reliable Swimming Pool Drowning Detection: Systematic Review of Methods and Implementations. JMIR Rehabilitation and Assistive Technologies. https://doi.org/10.2196/100939
Source records
- crossref · retrieved 2026-11-05T03:32:55.896Z