Hybridising feature subset selection with enhanced Deep Belief network for Human Activity recognition to Support Disabled Persons using internet of things-edge-cloud continuum.
- DOI
- 10.1080/17483107.2026.2653084
- Published
- 2026 Aug
- Container
- Disability and rehabilitation. Assistive technology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/17483107.2026.2653084,
title = {Hybridising feature subset selection with enhanced Deep Belief network for Human Activity recognition to Support Disabled Persons using internet of things-edge-cloud continuum.},
author = {Alabdan R and Alsahafi YA and Zalah I and Zamani AS},
year = {2026},
journal = {Disability and rehabilitation. Assistive technology},
doi = {10.1080/17483107.2026.2653084},
url = {https://doi.org/10.1080/17483107.2026.2653084}
}RIS
TY - JOUR TI - Hybridising feature subset selection with enhanced Deep Belief network for Human Activity recognition to Support Disabled Persons using internet of things-edge-cloud continuum. AU - Alabdan R AU - Alsahafi YA AU - Zalah I AU - Zamani AS PY - 2026 JO - Disability and rehabilitation. Assistive technology DO - 10.1080/17483107.2026.2653084 UR - https://doi.org/10.1080/17483107.2026.2653084 ER -
APA
R, A., YA, A., I, Z., & AS, Z. (2026). Hybridising feature subset selection with enhanced Deep Belief network for Human Activity recognition to Support Disabled Persons using internet of things-edge-cloud continuum.. Disability and rehabilitation. Assistive technology. https://doi.org/10.1080/17483107.2026.2653084
Source records
- pubmed · retrieved 2026-09-26T06:18:23.752Z