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From Motion to Prevention: A TimeGAN-Enhanced Hybrid BiLSTM-CNN-Attention Model for Predicting Falls and Preventive Interventions

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Bibliographic Details
Published in:Applied Computational Intelligence and Soft Computing
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title Applied Computational Intelligence and Soft Computing
description
discipline_display Mathematics
discipline_facet Mathematics
format Online Article
RSS Article
genre Journal Article
id rss_article:62713
institution FRELIP
journal_source_facet Applied Computational Intelligence and Soft Computing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle From Motion to Prevention: A TimeGAN-Enhanced Hybrid BiLSTM-CNN-Attention Model for Predicting Falls and Preventive Interventions
Mathematics
General
Mathematics
sub_discipline_display General
sub_discipline_facet General
subject_display Mathematics
General
Mathematics
Mathematics
General
Mathematics
subject_facet Mathematics
General
Mathematics
title From Motion to Prevention: A TimeGAN-Enhanced Hybrid BiLSTM-CNN-Attention Model for Predicting Falls and Preventive Interventions
title_auth From Motion to Prevention: A TimeGAN-Enhanced Hybrid BiLSTM-CNN-Attention Model for Predicting Falls and Preventive Interventions
title_full From Motion to Prevention: A TimeGAN-Enhanced Hybrid BiLSTM-CNN-Attention Model for Predicting Falls and Preventive Interventions
title_fullStr From Motion to Prevention: A TimeGAN-Enhanced Hybrid BiLSTM-CNN-Attention Model for Predicting Falls and Preventive Interventions
title_full_unstemmed From Motion to Prevention: A TimeGAN-Enhanced Hybrid BiLSTM-CNN-Attention Model for Predicting Falls and Preventive Interventions
title_short From Motion to Prevention: A TimeGAN-Enhanced Hybrid BiLSTM-CNN-Attention Model for Predicting Falls and Preventive Interventions
title_sort from motion to prevention: a timegan-enhanced hybrid bilstm-cnn-attention model for predicting falls and preventive interventions
topic Mathematics
General
Mathematics
url https://www.hindawi.com/journals/acisc/2026/6925968/