04583nam 2201345z- 450 991055761310332120220321(CKB)5400000000045271(oapen)https://directory.doabooks.org/handle/20.500.12854/79603(oapen)doab79603(EXLCZ)99540000000004527120202203d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Computational Intelligence Applications in the Mining IndustryBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online 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.History of engineering & technologybicsscTechnology: general issuesbicsscaccidentsartificial intelligenceball mill throughputBayesian networkBayesian Network Structure Learning (BNSL)bitumen extractionbitumen processabilityblast impactbluetooth beaconclassification and regression treecoalconvolutional neural networksdamage risk analysisdata analytics in miningdecision treesdigital twindimensionality reductiondiscrete event simulationempirical modelepithermal goldfragmentationfragmentation size analysisgaussian naïve bayesgeological uncertaintygeostatisticsgrinding circuitshealth and safety managementhyperspectral imagingimage analysisk-nearest neighborsknowledge discoverymaceralsmachine learningmasonry buildingsmeasurement while drillingmine optimizationmine safety and healthmine worker fatiguemine-to-millmineral prospectivity mappingminerals processingminingmining equipment uncertaintiesmining exploitationmining geologymodes of operationmultispectral imagingmultivariate statisticsn/aNaive Bayesnarrativesnatural language processingneighbourhood component analysisnon-additivityoil sandsoperational dataore controlorebody uncertaintypartial least squares regressionpetrographic analysispoint cloud scalingQ-learningrandom forestrandom forest algorithmrandom forest classificationrandom forest modelrock typesemantic segmentationstockpilesstructure from motionsupport vector machinetactical geometallurgytransport routetransport timetruck dispatchingunderground mineunstructured datavariable importanceHistory of engineering & technologyTechnology: general issuesGanguli Rajiveedt1314875Dessureault SeanedtRogers PrattedtGanguli RajiveothDessureault SeanothRogers PrattothBOOK9910557613103321Advances in Computational Intelligence Applications in the Mining Industry3032078UNINA