Retraction: Advancements in intrusion detection: A lightweight hybrid RNN-RF model.
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0319019 |
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author | PLOS One Editors |
author_facet | PLOS One Editors |
author_sort | PLOS One Editors |
collection | DOAJ |
format | Article |
id | doaj-art-41e989d259a041b58dac72f74aba134c |
institution | Kabale University |
issn | 1932-6203 |
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 |