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Dynamic-kernel CNN-LSTM for real-time intrusion detection in low-power healthcare IoT systems

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Bibliographic Details
Published in:Journal of Nigerian Society of Physical Sciences
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Nigerian Society of Physical Sciences
description
discipline_display African Open Access — Natural Sciences
discipline_facet African Open Access — Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:85669
institution FRELIP
journal_source_facet Journal of Nigerian Society of Physical Sciences
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Dynamic-kernel CNN-LSTM for real-time intrusion detection in low-power healthcare IoT systems
African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
sub_discipline_display General
sub_discipline_facet General
subject_display African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
subject_facet African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
title Dynamic-kernel CNN-LSTM for real-time intrusion detection in low-power healthcare IoT systems
title_auth Dynamic-kernel CNN-LSTM for real-time intrusion detection in low-power healthcare IoT systems
title_full Dynamic-kernel CNN-LSTM for real-time intrusion detection in low-power healthcare IoT systems
title_fullStr Dynamic-kernel CNN-LSTM for real-time intrusion detection in low-power healthcare IoT systems
title_full_unstemmed Dynamic-kernel CNN-LSTM for real-time intrusion detection in low-power healthcare IoT systems
title_short Dynamic-kernel CNN-LSTM for real-time intrusion detection in low-power healthcare IoT systems
title_sort dynamic-kernel cnn-lstm for real-time intrusion detection in low-power healthcare iot systems
topic African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
url https://journal.nsps.org.ng/index.php/jnsps/article/view/3230