Retraction: Advancements in intrusion detection: A lightweight hybrid RNN-RF model.

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Main Author: PLOS One Editors
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0319019
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author PLOS One Editors
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institution Kabale University
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language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-41e989d259a041b58dac72f74aba134c2025-02-12T05:31:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01202e031901910.1371/journal.pone.0319019Retraction: Advancements in intrusion detection: A lightweight hybrid RNN-RF model.PLOS One Editorshttps://doi.org/10.1371/journal.pone.0319019
spellingShingle PLOS One Editors
Retraction: Advancements in intrusion detection: A lightweight hybrid RNN-RF model.
PLoS ONE
title Retraction: Advancements in intrusion detection: A lightweight hybrid RNN-RF model.
title_full Retraction: Advancements in intrusion detection: A lightweight hybrid RNN-RF model.
title_fullStr Retraction: Advancements in intrusion detection: A lightweight hybrid RNN-RF model.
title_full_unstemmed Retraction: Advancements in intrusion detection: A lightweight hybrid RNN-RF model.
title_short Retraction: Advancements in intrusion detection: A lightweight hybrid RNN-RF model.
title_sort retraction advancements in intrusion detection a lightweight hybrid rnn rf model
url https://doi.org/10.1371/journal.pone.0319019
work_keys_str_mv AT plosoneeditors retractionadvancementsinintrusiondetectionalightweighthybridrnnrfmodel