Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques

Detalles Bibliográficos
Autores: Fernández Lucas, Alberto, Segarra Catasus, Pablo|||0000-0002-5093-2741, Sanchidrián Blanco, José Angel|||0000-0003-1848-8465, Navarro Domíguez, Rafael|||0000-0002-0181-1193
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:83730
Acceso en línea:https://oa.upm.es/83730/
Access Level:acceso abierto
Palabra clave:Assaying while drilling
Machine Learning
measurement while drilling
Ore/waste identification
RECOGNITIO
ROCK
Underground minin
Underground mining
X-ray fluorescence
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oai_identifier_str oai:oa.upm.es:83730
network_acronym_str ES
network_name_str España
repository_id_str
spelling Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniquesFernández Lucas, AlbertoSegarra Catasus, Pablo|||0000-0002-5093-2741Sanchidrián Blanco, José Angel|||0000-0003-1848-8465Navarro Domíguez, Rafael|||0000-0002-0181-1193Assaying while drillingMachine Learningmeasurement while drillingOre/waste identificationRECOGNITIOROCKUnderground mininUnderground miningX-ray fluorescence20242024-04-24journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/83730/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenEuropean Commission 10.13039/501100000780 Horizon 2020 Framework Programme 869379 illuMINEation projectopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:837302026-06-21T12:45:07Z
dc.title.none.fl_str_mv Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques
title Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques
spellingShingle Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques
Fernández Lucas, Alberto
Assaying while drilling
Machine Learning
measurement while drilling
Ore/waste identification
RECOGNITIO
ROCK
Underground minin
Underground mining
X-ray fluorescence
title_short Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques
title_full Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques
title_fullStr Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques
title_full_unstemmed Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques
title_sort Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques
dc.creator.none.fl_str_mv Fernández Lucas, Alberto
Segarra Catasus, Pablo|||0000-0002-5093-2741
Sanchidrián Blanco, José Angel|||0000-0003-1848-8465
Navarro Domíguez, Rafael|||0000-0002-0181-1193
author Fernández Lucas, Alberto
author_facet Fernández Lucas, Alberto
Segarra Catasus, Pablo|||0000-0002-5093-2741
Sanchidrián Blanco, José Angel|||0000-0003-1848-8465
Navarro Domíguez, Rafael|||0000-0002-0181-1193
author_role author
author2 Segarra Catasus, Pablo|||0000-0002-5093-2741
Sanchidrián Blanco, José Angel|||0000-0003-1848-8465
Navarro Domíguez, Rafael|||0000-0002-0181-1193
author2_role author
author
author
dc.subject.none.fl_str_mv Assaying while drilling
Machine Learning
measurement while drilling
Ore/waste identification
RECOGNITIO
ROCK
Underground minin
Underground mining
X-ray fluorescence
topic Assaying while drilling
Machine Learning
measurement while drilling
Ore/waste identification
RECOGNITIO
ROCK
Underground minin
Underground mining
X-ray fluorescence
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-04-24
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/83730/
url https://oa.upm.es/83730/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.relation.none.fl_str_mv European Commission 10.13039/501100000780 Horizon 2020 Framework Programme 869379 illuMINEation project
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420098298576896
score 15,81155

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