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Role of Machine Learning and Big Data Analytics in Enhancing the Efficiency of Gas Metal Arc Welding Process

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Bibliographic Details
Published in:IET Collaborative Intelligent Manufacturing
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title IET Collaborative Intelligent Manufacturing
description
discipline_display Manufacturing and Technology
discipline_facet Manufacturing and Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:63419
institution FRELIP
journal_source_facet IET Collaborative Intelligent Manufacturing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Role of Machine Learning and Big Data Analytics in Enhancing the Efficiency of Gas Metal Arc Welding Process
Manufacturing and Technology
General
Manufacturing and Technology
sub_discipline_display General
sub_discipline_facet General
subject_display Manufacturing and Technology
General
Manufacturing and Technology
Manufacturing and Technology
General
Manufacturing and Technology
subject_facet Manufacturing and Technology
General
Manufacturing and Technology
title Role of Machine Learning and Big Data Analytics in Enhancing the Efficiency of Gas Metal Arc Welding Process
title_auth Role of Machine Learning and Big Data Analytics in Enhancing the Efficiency of Gas Metal Arc Welding Process
title_full Role of Machine Learning and Big Data Analytics in Enhancing the Efficiency of Gas Metal Arc Welding Process
title_fullStr Role of Machine Learning and Big Data Analytics in Enhancing the Efficiency of Gas Metal Arc Welding Process
title_full_unstemmed Role of Machine Learning and Big Data Analytics in Enhancing the Efficiency of Gas Metal Arc Welding Process
title_short Role of Machine Learning and Big Data Analytics in Enhancing the Efficiency of Gas Metal Arc Welding Process
title_sort role of machine learning and big data analytics in enhancing the efficiency of gas metal arc welding process
topic Manufacturing and Technology
General
Manufacturing and Technology
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cim2.70057?af=R