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Insight indoor adaptive behavioural adjustments considering a machine learning-based method

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Bibliographic Details
Published in:Journal of Industrial Engineering and Management (JIEM)
Format: Online Article RSS Article
Published: 2025
Subjects:
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container_title Journal of Industrial Engineering and Management (JIEM)
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:3140
institution FRELIP
journal_source_facet Journal of Industrial Engineering and Management (JIEM)
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Insight indoor adaptive behavioural adjustments considering a machine learning-based method
— — — — — Systems and Industrial Engineering
Mechanical Engineering
Engineering & Technology
sub_discipline_display Mechanical Engineering
sub_discipline_facet Mechanical Engineering
subject_display — — — — — Systems and Industrial Engineering
Mechanical Engineering
Engineering & Technology
— — — — — Systems and Industrial Engineering
Mechanical Engineering
Engineering & Technology
subject_facet — — — — — Systems and Industrial Engineering
Mechanical Engineering
Engineering & Technology
title Insight indoor adaptive behavioural adjustments considering a machine learning-based method
title_auth Insight indoor adaptive behavioural adjustments considering a machine learning-based method
title_full Insight indoor adaptive behavioural adjustments considering a machine learning-based method
title_fullStr Insight indoor adaptive behavioural adjustments considering a machine learning-based method
title_full_unstemmed Insight indoor adaptive behavioural adjustments considering a machine learning-based method
title_short Insight indoor adaptive behavioural adjustments considering a machine learning-based method
title_sort insight indoor adaptive behavioural adjustments considering a machine learning-based method
topic — — — — — Systems and Industrial Engineering
Mechanical Engineering
Engineering & Technology
url https://www.jiem.org/index.php/jiem/article/view/8605