Corrigendum: Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization

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Main Authors: Saâd Soulaimani, Ayoub Soulaimani, Kamal Abdelrahman, Abdelhalim Miftah, Mohammed S. Fnais, Biraj Kanti Mondal
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Earth Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2024.1544327/full
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author Saâd Soulaimani
Saâd Soulaimani
Ayoub Soulaimani
Kamal Abdelrahman
Abdelhalim Miftah
Mohammed S. Fnais
Biraj Kanti Mondal
author_facet Saâd Soulaimani
Saâd Soulaimani
Ayoub Soulaimani
Kamal Abdelrahman
Abdelhalim Miftah
Mohammed S. Fnais
Biraj Kanti Mondal
author_sort Saâd Soulaimani
collection DOAJ
format Article
id doaj-art-981eb5fbb2d3415dace2072d1e0e3c0a
institution DOAJ
issn 2296-6463
language English
publishDate 2025-02-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Earth Science
spelling doaj-art-981eb5fbb2d3415dace2072d1e0e3c0a2025-08-20T03:12:48ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632025-02-011210.3389/feart.2024.15443271544327Corrigendum: Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimizationSaâd Soulaimani0Saâd Soulaimani1Ayoub Soulaimani2Kamal Abdelrahman3Abdelhalim Miftah4Mohammed S. Fnais5Biraj Kanti Mondal6Resources Valorization, Environment and Sustainable Development Research Team (RVESD), Department of Mines, Mines School of Rabat, Rabat, MoroccoGeology and Sustainable Mining Institute, Mohammed VI Polytechnic University, Ben Guerir, MoroccoNatural Resources and Sustainable Development Laboratory, Department of Earth Sciences, Faculty of Sciences, Ibn Tofaïl University, Kénitra, MoroccoDepartment of Geology and Geophysics, College of Science, King Saud University, Riyadh, Saudi ArabiaLaboratory Physico-Chemistry of Processes and Materials, Faculty of Sciences and Techniques, Hassan First University of Settat, Settat, MoroccoDepartment of Geology and Geophysics, College of Science, King Saud University, Riyadh, Saudi ArabiaDepartment of Geography, Netaji Subhas Open University, Kolkata, Indiahttps://www.frontiersin.org/articles/10.3389/feart.2024.1544327/fullgeologylithology identificationmachine learningneural networkBayesian optimization
spellingShingle Saâd Soulaimani
Saâd Soulaimani
Ayoub Soulaimani
Kamal Abdelrahman
Abdelhalim Miftah
Mohammed S. Fnais
Biraj Kanti Mondal
Corrigendum: Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization
Frontiers in Earth Science
geology
lithology identification
machine learning
neural network
Bayesian optimization
title Corrigendum: Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization
title_full Corrigendum: Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization
title_fullStr Corrigendum: Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization
title_full_unstemmed Corrigendum: Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization
title_short Corrigendum: Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization
title_sort corrigendum advanced machine learning artificial neural network classifier for lithology identification using bayesian optimization
topic geology
lithology identification
machine learning
neural network
Bayesian optimization
url https://www.frontiersin.org/articles/10.3389/feart.2024.1544327/full
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AT kamalabdelrahman corrigendumadvancedmachinelearningartificialneuralnetworkclassifierforlithologyidentificationusingbayesianoptimization
AT abdelhalimmiftah corrigendumadvancedmachinelearningartificialneuralnetworkclassifierforlithologyidentificationusingbayesianoptimization
AT mohammedsfnais corrigendumadvancedmachinelearningartificialneuralnetworkclassifierforlithologyidentificationusingbayesianoptimization
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