FDEPCA: A Novel Adaptive Nonlinear Feature Extraction Method via Fruit Fly Olfactory Neural Network for IoMT Anomaly Detection.
- DOI
- 10.1109/jbhi.2023.3318892
- Published
- 2026 Jan
- Container
- IEEE journal of biomedical and health informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2023.3318892,
title = {FDEPCA: A Novel Adaptive Nonlinear Feature Extraction Method via Fruit Fly Olfactory Neural Network for IoMT Anomaly Detection.},
author = {Chen Y and Zeng Z and Lin X and Du X and Rida I and Xiao R},
year = {2026},
journal = {IEEE journal of biomedical and health informatics},
doi = {10.1109/jbhi.2023.3318892},
url = {https://doi.org/10.1109/jbhi.2023.3318892}
}RIS
TY - JOUR TI - FDEPCA: A Novel Adaptive Nonlinear Feature Extraction Method via Fruit Fly Olfactory Neural Network for IoMT Anomaly Detection. AU - Chen Y AU - Zeng Z AU - Lin X AU - Du X AU - Rida I AU - Xiao R PY - 2026 JO - IEEE journal of biomedical and health informatics DO - 10.1109/jbhi.2023.3318892 UR - https://doi.org/10.1109/jbhi.2023.3318892 ER -
APA
Y, C., Z, Z., X, L., X, D., I, R., & R, X. (2026). FDEPCA: A Novel Adaptive Nonlinear Feature Extraction Method via Fruit Fly Olfactory Neural Network for IoMT Anomaly Detection.. IEEE journal of biomedical and health informatics. https://doi.org/10.1109/jbhi.2023.3318892
Source records
- pubmed · retrieved 2026-11-10T12:42:21.090Z