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This special volume offers a snapshot of the latest developments in mineral exploration, in particular, geophysical, geochemical, and computational methods. It reflects the cutting-edge applications of geophysics and geochemistry, as well as novel technologies, such as in artificial intelligence and hyperspectral exploration, methods that have profoundly changed how exploration is conducted. This special volume is a representation of these cutting-edge and pioneering methods to consider and conduct exploration, and should serve both as a valuable compendium of the most innovative exploration methodologies available and as a foreshadowing of the form of future exploration. As such, this volume is of significant importance and would be useful to any exploration geologist and company

mineral prospectivity mapping --- deep mineral exploration --- geochemical exploration --- GA-SVR --- cross-gradients constraints --- laser-induced breakdown spectroscopy --- lithium --- mineral texture --- bat algorithm --- tungsten --- spatial analysis --- data-space --- stream sediments --- exploration --- MT --- geochemical fingerprinting --- 3D mineral prospectivity modeling --- Axi deposit --- LIBS --- dual-frequency IP --- one-class support vector machine --- Kagenfels --- pegmatite --- (co)-simulation --- LCT --- gravity gradiometry --- Natzwiller --- elastic-net regularization --- mineral resource classification --- mineral exploration --- Vosges --- micro-imaging --- exploration targeting --- project pursuit multivariate transform --- targeting --- joint inversion --- epithermal gold deposits --- inversion --- grain size analysis --- niobium --- Variscan orogeny --- QEMSCAN® --- receiver operating characteristic --- model-space --- JORC code --- Jinchuan Cu–Ni sulfide deposit --- limestone deposit --- area under the curve --- CSAMT --- magnetotelluric --- Youden index --- gravity --- granite

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This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.

Technology: general issues --- History of engineering & technology --- truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- n/a --- gaussian naïve bayes

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This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.

truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- n/a --- gaussian naïve bayes

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In recent decades, remote sensing technology has been incorporated in numerous mineral exploration projects in metallogenic provinces around the world. Multispectral and hyperspectral sensors play a significant role in affording unique data for mineral exploration and environmental hazard monitoring. This book covers the advances of remote sensing data processing algorithms in mineral exploration, and the technology can be used in monitoring and decision-making in relation to environmental mining hazard. This book presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling, offering excellent information to professional earth scientists, researchers, mineral exploration communities and mining companies.

Research & information: general --- Geography --- Toroud–Chahshirin Magmatic Belt (TCMB) --- remote sensing --- ASTER --- hydrothermally altered zones --- polymetallic vein-type mineralization --- emissivity --- emissivity normalization method --- dolomite --- phosphorite --- relative band depth (RBD) --- Bowers Terrane --- listvenite --- hydrothermal/metasomatic alteration minerals --- damage zones --- Northern Victoria Land --- Antarctica --- multispectral and radar data --- data fusion --- gold mineralization --- Wadi Beitan–Wadi Rahaba --- structural control --- Najd Fault System --- South Eastern Desert --- Egypt --- hyperspectral --- Goldstrike --- Carlin-type --- decarbonatization --- argillization --- Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) --- Sentinel 2 --- Synthetic Aperture Radar (SAR) data --- Egyptian Eastern Desert --- transpression and transtension zones --- Landsat-8 --- WorldView-3 --- the Inglefield Mobile Belt (IMB) --- copper-gold mineralization --- High Arctic regions --- epithermal gold --- hydrothermal alteration --- Ahar-Arasbaran region --- Landsat-7 ETM+ --- Bayesian Network Classifiers --- hyperspectral imaging --- drill-core --- SWIR --- mineral abundance mapping --- mineral association --- machine learning --- band ratios --- principal component analysis (PCA) --- fuzzy logic modeling --- Kashmar–Kerman tectonic zone (KKTZ) --- carbonate-hosted Pb-Zn mineralization --- Iran --- dimensionality reduction --- principal component analysis --- independent component analysis --- minimum noise fraction --- fuzzy logic --- riverbed --- metals --- electrical resistivity imaging --- tailings --- Mar Menor --- Cartagena–La Unión --- unmanned aerial systems --- multispectral --- magnetic --- geologic mapping --- drones --- UAV --- dust dispersion --- spectra --- canopy scale --- pixel scale --- mining area --- mineral exploration --- multispectral and hyperspectral data --- mining