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Attention-Driven CNN-LSTM Fusion for Robust Deepfake Detection in Digital Media

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Bibliographic Details
Published in:African Journal of Applied Research
Format: Online Article RSS Article
Published: 2026
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container_title African Journal of Applied Research
description
discipline_display African Open Access — Technology & Engineering
discipline_facet African Open Access — Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:86538
institution FRELIP
journal_source_facet African Journal of Applied Research
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Attention-Driven CNN-LSTM Fusion for Robust Deepfake Detection in Digital Media
African Open Access — Technology & Engineering
General
African Open Access — Technology & Engineering
sub_discipline_display General
sub_discipline_facet General
subject_display African Open Access — Technology & Engineering
General
African Open Access — Technology & Engineering
African Open Access — Technology & Engineering
General
African Open Access — Technology & Engineering
subject_facet African Open Access — Technology & Engineering
General
African Open Access — Technology & Engineering
title Attention-Driven CNN-LSTM Fusion for Robust Deepfake Detection in Digital Media
title_auth Attention-Driven CNN-LSTM Fusion for Robust Deepfake Detection in Digital Media
title_full Attention-Driven CNN-LSTM Fusion for Robust Deepfake Detection in Digital Media
title_fullStr Attention-Driven CNN-LSTM Fusion for Robust Deepfake Detection in Digital Media
title_full_unstemmed Attention-Driven CNN-LSTM Fusion for Robust Deepfake Detection in Digital Media
title_short Attention-Driven CNN-LSTM Fusion for Robust Deepfake Detection in Digital Media
title_sort attention-driven cnn-lstm fusion for robust deepfake detection in digital media
topic African Open Access — Technology & Engineering
General
African Open Access — Technology & Engineering
url https://ajaronline.com/index.php/AJAR/article/view/1690