A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification.
- DOI
- 10.1038/s41598-024-81228-x
- Published
- 2024 Dec 30
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-024-81228-x,
title = {A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification.},
author = {Rahman A and Nahid N and Schuller B and Ahad MAR},
year = {2024},
journal = {Scientific reports},
doi = {10.1038/s41598-024-81228-x},
url = {https://doi.org/10.1038/s41598-024-81228-x}
}RIS
TY - JOUR TI - A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification. AU - Rahman A AU - Nahid N AU - Schuller B AU - Ahad MAR PY - 2024 JO - Scientific reports DO - 10.1038/s41598-024-81228-x UR - https://doi.org/10.1038/s41598-024-81228-x ER -
APA
A, R., N, N., B, S., & MAR, A. (2024). A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification.. Scientific reports. https://doi.org/10.1038/s41598-024-81228-x
Source records
- pubmed · retrieved 2026-09-25T14:23:55.347Z