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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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A combination of artificial neural network and genetic algorithm to optimize gas injection: A case study for EOR applications
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A new multiple-point grade estimation method by implicit volterra series
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MORPHSIM: A new multiple-point pattern-based unconditional simulation algorithm using morphological image processing tools
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Comparison of machine learning methods for copper ore grade estimation
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10.1007/s10596-018-9758-0 |
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Evaluating the performance of the wavelet transform in extracting spectral alteration features from hyperspectral images
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Synthetic Catalogue Simulation in Low-Seismicity Regions and Few Instrumental Records in Central Iran Based on Monte Carlo Method
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IMPROVED ESTIMATION OF PERMEABILITY OF OIL RESERVOIRS USING WAVENET APPROACH
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Random partitioning and adaptive filters for multiple-point stochastic simulation
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10.1007/s00477-017-1453-5 |
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Assessing the effects of flow distribution on the internal hydraulic behavior of a constructed horizontal subsurface flow wetland using a numerical model and a tracer study
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Selecting optimum base wavelet for extracting spectral alteration features associated with porphyry copper mineralization using hyperspectral images
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Optimal location of additional exploratory drillholes using afuzzy-artificial bee colony algorithm
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10.1007/s12517-017-2948-6 |
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A hybrid simultaneous perturbation artificial bee colony and back-propagation algorithm for training a local linear radial basis neural network on ore grade estimation
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10.1016/j.neucom.2017.01.016 |
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Improving the Curie depth estimation through optimizing the spectral block dimensions of the aeromagnetic data in the Sabalan geothermal field
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Uniaxial Compressive Strength spatial estimation using different interpolation techniques
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A comparative study of kriging and simulation-based methods in classifying ore and waste blocks
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