Hadjer Goumidi and Samuel Pierre
Article (2025)
Department: | Department of Computer Engineering and Software Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/64620/ |
Journal Title: | IEEE Access (vol. 13) |
Publisher: | Institute of Electrical and Electronics Engineers |
DOI: | 10.1109/access.2025.3563158 |
Official URL: | https://doi.org/10.1109/access.2025.3563158 |
Date Deposited: | 22 Apr 2025 16:42 |
Last Modified: | 01 May 2025 01:40 |
Cite in APA 7: | Goumidi, H., & Pierre, S. (2025). Real-Time Anomaly Detection in IoMT Networks Using Stacking model and a Healthcare-Specific Dataset. IEEE Access, 13, 70352-70365. https://doi.org/10.1109/access.2025.3563158 |
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