FDEPCA: A Novel Adaptive Nonlinear Feature Extraction Method via Fruit Fly Olfactory Neural Network for IoMT Anomaly Detection - Université de technologie de Compiègne Access content directly
Journal Articles IEEE Journal of Biomedical and Health Informatics Year : 2023

FDEPCA: A Novel Adaptive Nonlinear Feature Extraction Method via Fruit Fly Olfactory Neural Network for IoMT Anomaly Detection

Domains

Computer Science [cs]

Imad Rida  : Connect in order to contact the contributor

https://hal.utc.fr/hal-04236479

Submitted on : Tuesday, October 10, 2023-11:03:24 PM

Last modification on : Wednesday, October 11, 2023-3:38:02 AM

No file

Dates and versions

hal-04236479 , version 1 (10-10-2023)

Identifiers

Cite

Yihan Chen, Zhixia Zeng, Xinhong Lin, Xin Du, Imad Rida, et al.. 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, 2023, pp.1-13. ⟨10.1109/JBHI.2023.3318892⟩. ⟨hal-04236479⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

CNRS UNIV-COMPIEGNE BMBI
22 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More