Machine Learning Pinpoints Hidden Gold Zones in Ghana’s Beposo District
Researchers at the University of Ghana used random forest and decision tree classifiers trained on airborne geophysical data to map ...
Researchers at the University of Ghana used random forest and decision tree classifiers trained on airborne geophysical data to map ...
Researchers at Shandong University of Technology show that convolutional neural networks, especially AlexNet, can map gold prospectivity at the Jinchang ...
An integrated gravity and seismic study has produced the first hydrostructural framework of Morocco's Essaouira Basin, revealing how faults and ...
A knowledge–data dual-driven machine learning framework combining deep forest algorithms with orogenic gold mineral system knowledge has improved mineral prospectivity ...
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© 2025 Scienmag - Science Magazine