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10.1016/j.oregeorev.2024.106175 |
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| Improving the accuracy of detecting and ranking favorable porphyry copper prospects in the east of Sarcheshmeh copper mine region using a two-step sequential Fuzzy - Fuzzy TOPSIS integration approach |
10.1016/j.jaesx.2023.100166 |
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| Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns |
10.1007/s11004-023-10101-w |
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| Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization |
10.1016/j.cageo.2023.105341 |
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10.1016/j.jappgeo.2023.104986 |
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| Empirical mode decomposition and power spectrum filtering for detection of frequency channels related to multi-scale geochemical anomalies: Metal exploration targeting in Moalleman district, NE Iran |
10.1016/j.gexplo.2023.107157 |
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| Regimentation of geochemical indicator elements employing convolutional deep learning algorithm |
10.3389/fenvs.2023.1076302 |
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| Execution of an applicable hybrid integration procedure for mineral prospectivity mapping |
10.1007/s12517-022-11094-2 |
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10.1016/j.gexplo.2022.107061 |
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| Application of the most competent knowledge-driven integration method for deposit-scale studies |
10.1007/s12517-022-10217-z |
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| Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran |
10.1080/10106049.2022.2025917 |
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| Application of Dirichlet Process and Support Vector Machine Techniques for Mapping Alteration Zones Associated with Porphyry Copper Deposit Using ASTER Remote Sensing Imagery |
10.3390/min11111235 |
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