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CloudSeqAnim: cloud-based sequential behavior modeling for large-scale animation content services

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Bibliographic Details
Published in:Journal of Cloud Computing : Advances, Systems and Applications
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title Journal of Cloud Computing : Advances, Systems and Applications
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:25849
institution FRELIP
journal_source_facet Journal of Cloud Computing : Advances, Systems and Applications
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle CloudSeqAnim: cloud-based sequential behavior modeling for large-scale animation content services
Internet
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Internet
Technology & Engineering — Computing
Technology & Engineering
Internet
Technology & Engineering — Computing
Technology & Engineering
subject_facet Internet
Technology & Engineering — Computing
Technology & Engineering
title CloudSeqAnim: cloud-based sequential behavior modeling for large-scale animation content services
title_auth CloudSeqAnim: cloud-based sequential behavior modeling for large-scale animation content services
title_full CloudSeqAnim: cloud-based sequential behavior modeling for large-scale animation content services
title_fullStr CloudSeqAnim: cloud-based sequential behavior modeling for large-scale animation content services
title_full_unstemmed CloudSeqAnim: cloud-based sequential behavior modeling for large-scale animation content services
title_short CloudSeqAnim: cloud-based sequential behavior modeling for large-scale animation content services
title_sort cloudseqanim: cloud-based sequential behavior modeling for large-scale animation content services
topic Internet
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1186/s13677-026-00889-3