Geo Intelligence.

RESEARCH & SOURCES

Class Label Representativeness in Machine Learning-Based Mineral Prospectivity Mapping

Natural Resources Research · 2025.05.03

Paper authors：Mohammad Parsa · Renato Cumani

DOI: 10.1007/s11053-025-10468-z

AI mineral exploration Remote sensing & space Mathematical geosciences & data

This record provides source metadata. A detailed editorial analysis has not yet been published.

Read the original source ↗

Related research

Research articleGeoscience Data Journal2026.09.21

Machine Learning Approaches for Predicting Total Organic Carbon From Petrophysical Well Logs in the Wufeng–Longmaxi Shale, Southeast Sichuan Basin, ChinaOriginal title · English

Authors Haseeb Ahmad · Jiang Shu · Naveed Rehman · Muhammad Asad · Muhammad Tariq · Aqib Saeed · Attiqullah Ayaz

Details & notes Read original ↗

Research articleNatural Resources Research2026.04.27

Integrating Fractal Theory with Explainable Machine Learning for Mineral Prospectivity Mapping in the Nenjiang–Heihe RegionOriginal title · English

Authors Zhonghai Zhao · Xiang Zhao · Bo Zheng · Chenglu Li · Yang Liu · Kaiyue Tan · Yunbao Yang · Zhaolong Liu · Yechang Yin

Details & notes Read original ↗

Research articleDiscover Geoscience2026.01.05

Geological characterization and machine learning-based mapping of the Nkout iron deposit, South CameroonOriginal title · English

Authors André William Boroh · Amadou Diguim Kepmanou · Alpha Baster Kenfack Fokem · Adama Amaya · Sylvain Kouayep Lawou · Ismaïla Ngounouno

Details & notes Read original ↗

Research articleDiscover Geoscience2026.03.18

Machine-learning ensemble modeling of radiogenic heat production in crustal rocks in Nigerian geological provincesOriginal title · English

Authors Samuel O. Sedara · Olusegun O. Alabi · Ayobami D. Daramola · Gbadebo I. Olatona · Adedibu S. Akingboye

Details & notes Read original ↗