GEOLOGICAL MAPPING USING MACHINE LEARNING ALGORITHMS

10 citations as recorded by crossref.

1. Unsupervised classification applications in enhancing lithological mapping and geological understanding: a case study from Northern Ireland Z. Smillie et al. 10.1144/jgs2022-136
2. Predictive modeling of geophysical anomalies in the metasediments of Bugaji area, part of Malumfashi Schist Belt, North-Western Nigeria A. Ali & M. Muhammad 10.1016/j.ees.2025.07.005
3. Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land Imager G. Nwaila et al. 10.1016/j.aiig.2022.10.001
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6. A comparative analysis of multi-index overlay and fuzzy ordered weighted averaging methods for porphyry Cu prospectivity mapping using remote sensing data: the case study of Chahargonbad area, SE of Iran S. Riahi et al. 10.1080/10106049.2022.2159068
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8. A Systematic Review on the Application of Machine Learning in Exploiting Mineralogical Data in Mining and Mineral Industry M. Jooshaki et al. 10.3390/min11080816
9. A review of machine learning in processing remote sensing data for mineral exploration H. Shirmard et al. 10.1016/j.rse.2021.112750
10. Machine Learning-Based Mineral Quantification from Lower Cambrian Shale in the Sichuan Basin: Implications for Reservoir Quality X. Ye et al. 10.3390/min15030286