Deep Learning Based Binary and Multi-class Classification Comparison for Anomaly Detection

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dc.contributor.authorDIALLO, A
dc.contributor.authorAFFOGNON, Lionel
dc.contributor.authorDIALLO, Chérif
dc.contributor.authorEZIN, C. Eugène
dc.date.accessioned2026-06-02T16:06:57Z
dc.date.available2026-06-02T16:06:57Z
dc.date.issued2022
dc.identifier.doi10.1109/ICEET56468.2022.10007171
dc.identifier.otherBECDB-13962
dc.identifier.urihttps://dspace.uac.bj/handle/123456789/11918
dc.language.isofr
dc.relation.ispartof2022 International Conference on Engineering and Emerging Technologies (ICEET)
dc.titleDeep Learning Based Binary and Multi-class Classification Comparison for Anomaly Detection
dc.typeArticle

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