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Application of a feedforward neural network in the search for Kuroko deposits in the Hokuroku district, Japan
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The use of Neural Networks for Spatial Simulation
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Integrating spatial and frequency information in the search for kuroko deposits of the Hokuroku District, Japan
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The Kuroko and Related Volcanogenic Massive Sulfide Deposits
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Dropout effect on probabilistic neural network
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The use of a multilayer feedforward neural network for mineral prospectivity mapping
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Mineral potential mapping using feed-forward neural networks
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Exploring mineral domains with genetic algorithm
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Online Arabic writer identification based on Beta-elliptic model
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Mineral potential mapping in Central Iran using fuzzy ordered weighted averaging method
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Artificial neural networks applied to mineral potential mapping for copper‐gold mineralizations in the Carajás Mineral Province, Brazil
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Regional Probabilistic and Statistical Mineral Potential Mapping of Gold–Silver Deposits Using GIS in the Gangreung Area, Korea
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Improved Wildcat Modelling of Mineral Prospectivity
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From Predictive Mapping of Mineral Prospectivity to Quantitative Estimation of Number of Undiscovered Prospects
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MODELING THE SPATIAL DISTRIBUTION OF MINERAL DEPOSITS USING NEURAL NETWORKS
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A novel data-knowledge dual-driven model coupling artificial intelligence with a mineral systems approach for mineral prospectivity mapping
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GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping
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Neural network stochastic simulation applied for quantifying uncertainties
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Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS
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Application of multivariate regression on magnetic data to determine further drilling site for iron exploration
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Data Segmentation and Genetic Algorithms for Sparse Data Division in Nome Placer Gold Grade Estimation Using Neural Network and Geostatistics
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Predictive mapping using GIS to locate epithermal gold deposits at Cabo de Gata (Prov. of Almería, Spain)
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A clustering approach for mineral potential mapping: A deposit-scale porphyry copper exploration targeting
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Spatial Estimation of Geologic Data Using a Neural Network and Detection of Influence Factors on Their Distribution
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Spatial modeling of oil exploration areas using adaptive inference systems neuro - fuzzy (ANFIS) in GIS
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Machine Learning—A Review of Applications in Mineral Resource Estimation
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Pegmatite and Fault Spatial Distribution Patterns in Kalba-Narym Zone, East Kazakhstan: Integrated Field Observation, GIS, and Remote Sensing Analysis
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A New Ore Grade Estimation Using Combine Machine Learning Algorithms
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3D Mineral Prospectivity Mapping of Zaozigou Gold Deposit, West Qinling, China: Machine Learning-Based Mineral Prediction
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Mineral Prospectivity Mapping for Orogenic Gold Mineralization in the Rainy River Area, Wabigoon Subprovince
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Explainable Machine Learning in Mineral Prospectivity Mapping: A Critical Review of Methods, Geological Knowledge Embedding, Validation, and Future Directions
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Prospectivity Mapping of Mineral Deposits in Northern Norway Using Radial Basis Function Neural Networks
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A New Method to Evaluate Gold Mineralisation-Potential Mapping Using Deep Learning and an Explainable Artificial Intelligence (XAI) Model
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Assessment of Ore Grade Estimation Methods for Structurally Controlled Vein Deposits - A Review
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Mapeamento preditivo de favorabilidade para ouro na porção central da Província Mineral do Tapajós, Pará
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Evaluation of machine learning methods for prospectivity modeling and vectoring of IOCG mineralization
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DEEP-SEAM: an explainable semi-supervised deep learning framework for mineral prospectivity mapping
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Multi-scale interactions of geological processes during mineralization: cascade dynamics model and multifractal simulation
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Spatial analysis techniques applied to mineral prospecting: an evaluation in the Poços de Caldas plateau
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Harnessing the Power of Artificial Intelligence and Machine Learning in Mineral Exploration—Opportunities and Cautionary Notes
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Harnessing the Power of Artificial Intelligence and Machine Learning in Mineral Exploration—Opportunities and Cautionary Notes
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Application of Artificial Neural Network for Mineral Potential Mapping
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Three-Dimensional Analysis of Temperature Distribution in A Geothermal Area Using Well-Logging Data Set.
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Highlighting mineralized geological environments through a new Data-driven predictive mapping approach
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