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Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information
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10.1038/s41598-025-27332-y |
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Scientific Reports
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Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine
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10.3389/feart.2025.1352912 |
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Frontiers in Earth Science
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Adopting a cell-based method to identify mineralized geological structures in support of mineral prospectivity mapping at the Kuh-Lakht epithermal gold deposit, Central Iran
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10.1016/j.oregeorev.2024.106175 |
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ORE GEOLOGY REVIEWS
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Geologically-constrained GANomaly network for mineral prospectivity mapping through frequency domain training data
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10.1038/s41598-024-56644-8 |
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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
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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
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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
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10.1016/j.cageo.2023.105341 |
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Data-driven logistic function for weighting of geophysical evidence layers in mineral prospectivity mapping
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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
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10.1016/j.gexplo.2023.107157 |
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Regimentation of geochemical indicator elements employing convolutional deep learning algorithm
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10.3389/fenvs.2023.1076302 |
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Execution of an applicable hybrid integration procedure for mineral prospectivity mapping
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10.1007/s12517-022-11094-2 |
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3DU-TA: A new multifractal model involving surface topography for separation of geochemical anomalies
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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
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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
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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
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10.3390/min11111235 |
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Spatially-Weighted Factor Analysis for Extraction of Source-Oriented Mineralization Feature in 3D Coordinates of Surface Geochemical Signal
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10.1007/s11053-021-09933-2 |
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