Works in International Journal of Mining & Geo-Engineering, 2023, Vol 57, Issue 4
Results: 12
Spatially weighted singularity mapping in conjunction with random forest algorithm for mineral prospectivity modeling.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 455, doi. 10.22059/IJMGE.2023.366283.595102
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- Article
Delineation of mineral potential zone using U-statistic method in processing satellite remote sensing images.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 445, doi. 10.22059/IJMGE.2023.364690.595097
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Predicting gold grade using support vector machine and neural network to generate an evidence layer for 3D prospectivity analysis.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 435, doi. 10.22059/ijmge.2023.362951.595087
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Exploring Geothermal Potential through Multi-Modal Geophysical Data Integration: Gravity, Magnetic, and Magnetotelluric Prospecting.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 427, doi. 10.22059/ijmge.2023.364057.595093
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Hydrocarbon potential evaluation in the Low Resistivity Pays (LRP) of Sarvak formation with combining Nuclear Magnetic Resonance (NMR) and seismic data, one of the hydrocarbon reservoirs in southwest of Iran.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 413, doi. 10.22059/IJMGE.2023.361937.595082
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Investigating the performance of continuous weighting functions in the integration of exploration data for mineral potential modeling using artificial neural networks, geometric average and fuzzy gamma operators.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 405, doi. 10.22059/IJMGE.2023.361593.595080
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Mineral potential mapping of porphyry copper deposit by translating the mineral system using soil geochemistry data at Kahang, Iran.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 397, doi. 10.22059/IJMGE.2023.355656.595039
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Hydrocarbon reservoir potential mapping through permeability estimation by a CUDNNLSTM deep learning algorithm.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 389, doi. 10.22059/IJMGE.2023.356428.595045
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A multi-disciplinary and exploratory geospatial data set integration for porphyry copper prospectivity mapping in Kerman belt, Iran.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 381, doi. 10.22059/IJMGE.2023.355306.595036
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A Hybrid Fuzzy Ordered Weighted Averaging Method in Mineral Prospectivity Mapping: A case for Porphyry Cu Exploration in Chahargonbad District, Iran.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 373, doi. 10.22059/ijmge.2023.357315.595050
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Recognition coefficient of spatial geological features, an approach to facilitate criteria weighting for mineral exploration targeting.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 365, doi. 10.22059/IJMGE.2023.355380.595037
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Gold prospectivity mapping through generation and integration of geophysical, geochemical, remote sensing, and geological evidence layers in Saqez area, NW Iran.
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- International Journal of Mining & Geo-Engineering, 2023, v. 57, n. 4, p. 351, doi. 10.22059/IJMGE.2023.358626.595062
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- Article