Ardeshir Hezarkhani on Muck Rack

Ardeshir Hezarkhani

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Articles

Unsupervised Anomaly Detection for Mineral Prospectivity Mapping Using Isolation Forest and Extended Isolation Forest Algorithms

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By Mobin Saremi, Ardeshir Hezarkhani, Adel Shirazy, Aref Shirazi
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Unsupervised Anomaly Detection for Mineral Prospectivity Mapping Using Isolation Forest and Extended Isolation Forest Algorithms

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By Mobin Saremi, Ardeshir Hezarkhani, Adel Shirazy, Aref Shirazi
| preprints.org
You are already at the latest version Unsupervised anomaly detection algorithms have gained significant attention in the field of Mineral Prospectivity Mapping (MPM) due to their ability to reveal hidden mineralization zones by effectively modeling complex, nonlinear relationships between exploration data and mineral deposits.
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Geochemical Modeling of Copper Mineralization Using Geostatistical and Machine Learning Algorithms in the Sahlabad Area, Iran

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By Aref Shirazi, Ardeshir Hezarkhani, Adel Shirazy, Amin Beiranvand
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by 1,*, 1, 1 and 2,* 1 Department of Mining Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 1591634311, Iran 2 Institute of Oceanography and Environment (INOS), University Malaysia Terengganu (UMT), Kuala Nerus 21030, Terengganu, Malaysia * Authors to whom correspondence should be addressed.
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