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

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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
last_indexed 2026-06-20T21:41:43.353Z
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
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_alt Integración de aprendizaje automático de respuestas geofísicas para predecir indicadores metalúrgicos y ambientales en sistemas minerales
Intégration par apprentissage automatique des réponses géophysiques pour prédire les indicateurs métallurgiques et environnementaux dans les systèmes minéraux
Integração de Aprendizado de Máquina de Respostas Geofísicas para Predição de Indicadores Metalúrgicos e Ambientais em Sistemas Minerais
title_auth Machine-Learning Integration of Geophysical Responses for Predicting Metallurgical and Environmental Indicators in Mineral Systems
title_es_txt Integración de aprendizaje automático de respuestas geofísicas para predecir indicadores metalúrgicos y ambientales en sistemas minerales
title_fr_txt Intégration par apprentissage automatique des réponses géophysiques pour prédire les indicateurs métallurgiques et environnementaux dans les systèmes minéraux
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_pt_txt Integração de Aprendizado de Máquina de Respostas Geofísicas para Predição de Indicadores Metalúrgicos e Ambientais em Sistemas Minerais
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