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A deep learning-based method for conveyor belt deviation detection with geometric constraints

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Bibliographic Details
Published in:Journal of Computational Design and Engineering
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Computational Design and Engineering
description
discipline_display Computer Science
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format Online Article
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genre Journal Article
id rss_article:78478
institution FRELIP
journal_source_facet Journal of Computational Design and Engineering
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A deep learning-based method for conveyor belt deviation detection with geometric constraints
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title A deep learning-based method for conveyor belt deviation detection with geometric constraints
title_auth A deep learning-based method for conveyor belt deviation detection with geometric constraints
title_full A deep learning-based method for conveyor belt deviation detection with geometric constraints
title_fullStr A deep learning-based method for conveyor belt deviation detection with geometric constraints
title_full_unstemmed A deep learning-based method for conveyor belt deviation detection with geometric constraints
title_short A deep learning-based method for conveyor belt deviation detection with geometric constraints
title_sort a deep learning-based method for conveyor belt deviation detection with geometric constraints
topic Computer Science
General
Computer Science
url https://academic.oup.com/jcde/article/13/5/148/8660964?rss=1