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Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach

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Bibliographic Details
Published in:Journal of Remanufacturing
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Remanufacturing
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:12673
institution FRELIP
journal_source_facet Journal of Remanufacturing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach
Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
subject_facet Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
title Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach
title_auth Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach
title_full Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach
title_fullStr Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach
title_full_unstemmed Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach
title_short Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach
title_sort milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach
topic Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1007/s13243-026-00161-6