CNN-BiLSTM-Based Hybrid Deep Learning for Multi-Metric Anomaly Detection and Mitigation in Secure IoMT Healthcare WBANs
- DOI
- 10.3390/s26123849
- Published
- 2026-06-17
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26123849,
title = {CNN-BiLSTM-Based Hybrid Deep Learning for Multi-Metric Anomaly Detection and Mitigation in Secure IoMT Healthcare WBANs},
author = {Shanmugaraj Muthupandian and Devendran Manoj Kumar},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26123849},
url = {https://doi.org/10.3390/s26123849}
}RIS
TY - JOUR TI - CNN-BiLSTM-Based Hybrid Deep Learning for Multi-Metric Anomaly Detection and Mitigation in Secure IoMT Healthcare WBANs AU - Shanmugaraj Muthupandian AU - Devendran Manoj Kumar PY - 2026 JO - Sensors DO - 10.3390/s26123849 UR - https://doi.org/10.3390/s26123849 ER -
APA
Muthupandian, S., & Kumar, D. M. (2026). CNN-BiLSTM-Based Hybrid Deep Learning for Multi-Metric Anomaly Detection and Mitigation in Secure IoMT Healthcare WBANs. Sensors. https://doi.org/10.3390/s26123849
Source records
- crossref · retrieved 2026-11-09T21:15:23.500Z