Anomaly-resilient geofencing and predictive navigation in IoT environments using machine learning and federated learning for metaverse workplaces and smart shopping malls.
- DOI
- 10.1038/s41598-025-33856-0
- Published
- 2026 Jan 19
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-33856-0,
title = {Anomaly-resilient geofencing and predictive navigation in IoT environments using machine learning and federated learning for metaverse workplaces and smart shopping malls.},
author = {Mohamed NEM and Shafea MA and Abdelhakam MM},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-025-33856-0},
url = {https://doi.org/10.1038/s41598-025-33856-0}
}RIS
TY - JOUR TI - Anomaly-resilient geofencing and predictive navigation in IoT environments using machine learning and federated learning for metaverse workplaces and smart shopping malls. AU - Mohamed NEM AU - Shafea MA AU - Abdelhakam MM PY - 2026 JO - Scientific reports DO - 10.1038/s41598-025-33856-0 UR - https://doi.org/10.1038/s41598-025-33856-0 ER -
APA
NEM, M., MA, S., & MM, A. (2026). Anomaly-resilient geofencing and predictive navigation in IoT environments using machine learning and federated learning for metaverse workplaces and smart shopping malls.. Scientific reports. https://doi.org/10.1038/s41598-025-33856-0
Source records
- pubmed · retrieved 2026-09-26T13:54:11.770Z