02263oam 2200517I 450 991070768400332120160916105241.0(CKB)5470000002465695(OCoLC)885121105(EXLCZ)99547000000246569520140802d1960 ua 0engurn||||||||||txtrdacontentcrdamediacrrdacarrierSecond report on a cooperative investigation of the composition of two silicate rocks /by Rollin E. Stevens and othersWashington, D.C. :United States Department of the Interior, Geological Survey,1960.Washington, D.C. :Government Printing Office.1 online resource (iv, 126 pages) chartsGeological Survey bulletin ;1113Additional title page description: "An investigation by staff members of University of Cape Town, South Africa; California Institute of Technology, Pasadena; Indiana Geological Survey, Bloomington; and U.S. Geological Survey."Sequel to U.S. Geological Survey Bulletin 980, A cooperative investigation of precision and accuracy in chemical, spectrochemical and modal analysis of silicate rocks, by H.W. Fairbairn and others.Title from title screen (viewed July 23, 2014).Includes bibliographical references (pages 122-126).Pt. 1 Chemical analyses of the granite and the diabase.--Pt. 2 Special study of the silica content of G-1 and W-1 by combined wet chemical and spectrographic methods.RocksAnalysisSilicatesRocksAnalysisfastSilicatesfastRocksAnalysis.Silicates.RocksAnalysis.Silicates.Stevens R. E(Rollin E.),1393677Chodos Arthur A.Niles William W.Geological Survey (U.S.),COPCOPOCLCOOCLCFBOOK9910707684003321Second report on a cooperative investigation of the composition of two silicate rocks3450041UNINA04583nam 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