04546nam 2201321z- 450 991055761310332120231214133042.0(CKB)5400000000045271(oapen)https://directory.doabooks.org/handle/20.500.12854/79603(EXLCZ)99540000000004527120202203d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Computational Intelligence Applications in the Mining IndustryBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (324 p.)3-0365-3159-9 3-0365-3158-0 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 issuesbicsscHistory of engineering & technologybicssctruck dispatchingmining equipment uncertaintiesorebody uncertaintydiscrete event simulationQ-learninggrinding circuitsminerals processingrandom forestdecision treesmachine learningknowledge discoveryvariable importancemineral prospectivity mappingrandom forest algorithmepithermal goldunstructured datablast impactempirical modelminingfragmentationmine worker fatiguerandom forest modelhealth and safety managementstockpilesoperational datamine-to-millgeostatisticsore controlmine optimizationdigital twinmodes of operationgeological uncertaintymultivariate statisticspartial least squares regressionoil sandsbitumen extractionbitumen processabilitymine safety and healthaccidentsnarrativesnatural language processingrandom forest classificationhyperspectral imagingmultispectral imagingdimensionality reductionneighbourhood component analysisartificial intelligencemining exploitationmasonry buildingsdamage risk analysisBayesian networkNaive BayesBayesian Network Structure Learning (BNSL)rock typemining geologybluetooth beaconclassification and regression treegaussian naìˆve bayesk-nearest neighborssupport vector machinetransport routetransport timeunderground minetactical geometallurgydata analytics in miningball mill throughputmeasurement while drillingnon-additivitycoalpetrographic analysismaceralsimage analysissemantic segmentationconvolutional neural networkspoint cloud scalingfragmentation size analysisstructure from motionTechnology: general issuesHistory of engineering & technologyGanguli Rajiveedt1314875Dessureault SeanedtRogers PrattedtGanguli RajiveothDessureault SeanothRogers PrattothBOOK9910557613103321Advances in Computational Intelligence Applications in the Mining Industry3032078UNINA