Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals.

Al Duhayyim M

Open source

DOI
10.1038/s41598-025-09716-2
Published
2025 Jul 30
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-09716-2,
  title = {Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals.},
  author = {Al Duhayyim M},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-09716-2},
  url = {https://doi.org/10.1038/s41598-025-09716-2}
}

RIS

TY  - JOUR
TI  - Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals.
AU  - Al Duhayyim M
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-09716-2
UR  - https://doi.org/10.1038/s41598-025-09716-2
ER  - 

APA

M, A. D. (2025). Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals.. Scientific reports. https://doi.org/10.1038/s41598-025-09716-2

Source records