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Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems

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Bibliographic Details
Published in:UMYU Scientifica Journal
Format: Online Article RSS Article
Published: 2026
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container_title UMYU Scientifica Journal
description
discipline_display African Open Access — Natural Sciences
discipline_facet African Open Access — Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:85805
institution FRELIP
journal_source_facet UMYU Scientifica Journal
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems
African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
sub_discipline_display General
sub_discipline_facet General
subject_display African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
subject_facet African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
title Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems
title_auth Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems
title_full Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems
title_fullStr Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems
title_full_unstemmed Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems
title_short Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems
title_sort machine-learning integration of geophysical responses for predicting metallurgical and environmental indicators in mineral systems
topic African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
url https://publications.umyu.edu.ng/scientifica/index.php/usci/article/view/586