Articles

type: Journal
Title DOI Date Conference / journal
Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information 10.1038/s41598-025-27332-y Scientific Reports
Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine 10.3389/feart.2025.1352912 Frontiers in Earth Science
Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization Scientific Reports
Geologically-constrained GANomaly network for mineral prospectivity mapping through frequency domain training data 10.1038/s41598-024-56644-8
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
A combination of artificial neural network and genetic algorithm to optimize gas injection: A case study for EOR applications #
A new multiple-point grade estimation method by implicit volterra series #
MORPHSIM: A new multiple-point pattern-based unconditional simulation algorithm using morphological image processing tools #
Comparison of machine learning methods for copper ore grade estimation 10.1007/s10596-018-9758-0
Evaluating the performance of the wavelet transform in extracting spectral alteration features from hyperspectral images #
Synthetic Catalogue Simulation in Low-Seismicity Regions and Few Instrumental Records in Central Iran Based on Monte Carlo Method #
IMPROVED ESTIMATION OF PERMEABILITY OF OIL RESERVOIRS USING WAVENET APPROACH #
Random partitioning and adaptive filters for multiple-point stochastic simulation 10.1007/s00477-017-1453-5
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 #
Selecting optimum base wavelet for extracting spectral alteration features associated with porphyry copper mineralization using hyperspectral images #
Optimal location of additional exploratory drillholes using afuzzy-artificial bee colony algorithm 10.1007/s12517-017-2948-6
A hybrid simultaneous perturbation artificial bee colony and back-propagation algorithm for training a local linear radial basis neural network on ore grade estimation 10.1016/j.neucom.2017.01.016
Improving the Curie depth estimation through optimizing the spectral block dimensions of the aeromagnetic data in the Sabalan geothermal field #
type: Conference
Title Date
MT data inversion and dimensionality analysis in Varton geothermal central Iran
Application of AHP method in Copper potential mapping Case study Central Kerman metallogenic arc