GEOLOGICAL MAPPING USING MACHINE LEARNING ALGORITHMS

9 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
4. Comparison of Machine Learning Methods and Ordinary Kriging for Gravimetric Mapping: Application to Yagoua Area (Northern Cameroon) M. Luther et al. 10.1155/je/6613167
5. 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
6. The contribution of pattern recognition techniques in geomorphology and geology: the case study of Tinos Island (Cyclades, Aegean, Greece) E. Toulia et al. 10.1080/22797254.2017.1405716
7. 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
8. A review of machine learning in processing remote sensing data for mineral exploration H. Shirmard et al. 10.1016/j.rse.2021.112750
9. Machine Learning-Based Mineral Quantification from Lower Cambrian Shale in the Sichuan Basin: Implications for Reservoir Quality X. Ye et al. 10.3390/min15030286