Advances in Computational Intelligence Applications in the Mining Industry

doi:10.3390/books978-3-0365-3158-8

dc.contributor.editor	Ganguli, Rajive
dc.contributor.editor	Dessureault, Sean
dc.contributor.editor	Rogers, Pratt
dc.date.accessioned	2022-03-21T16:27:49Z
dc.date.available	2022-03-21T16:27:49Z
dc.date.issued	2022
dc.identifier	ONIX_20220321_9783036531595_39
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/79603
dc.description.abstract	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.
dc.language	English
dc.subject.classification	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues	en_US
dc.subject.classification	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology	en_US
dc.subject.other	truck dispatching
dc.subject.other	mining equipment uncertainties
dc.subject.other	orebody uncertainty
dc.subject.other	discrete event simulation
dc.subject.other	Q-learning
dc.subject.other	grinding circuits
dc.subject.other	minerals processing
dc.subject.other	random forest
dc.subject.other	decision trees
dc.subject.other	machine learning
dc.subject.other	knowledge discovery
dc.subject.other	variable importance
dc.subject.other	mineral prospectivity mapping
dc.subject.other	random forest algorithm
dc.subject.other	epithermal gold
dc.subject.other	unstructured data
dc.subject.other	blast impact
dc.subject.other	empirical model
dc.subject.other	mining
dc.subject.other	fragmentation
dc.subject.other	mine worker fatigue
dc.subject.other	random forest model
dc.subject.other	health and safety management
dc.subject.other	stockpiles
dc.subject.other	operational data
dc.subject.other	mine-to-mill
dc.subject.other	geostatistics
dc.subject.other	ore control
dc.subject.other	mine optimization
dc.subject.other	digital twin
dc.subject.other	modes of operation
dc.subject.other	geological uncertainty
dc.subject.other	multivariate statistics
dc.subject.other	partial least squares regression
dc.subject.other	oil sands
dc.subject.other	bitumen extraction
dc.subject.other	bitumen processability
dc.subject.other	mine safety and health
dc.subject.other	accidents
dc.subject.other	narratives
dc.subject.other	natural language processing
dc.subject.other	random forest classification
dc.subject.other	hyperspectral imaging
dc.subject.other	multispectral imaging
dc.subject.other	dimensionality reduction
dc.subject.other	neighbourhood component analysis
dc.subject.other	artificial intelligence
dc.subject.other	mining exploitation
dc.subject.other	masonry buildings
dc.subject.other	damage risk analysis
dc.subject.other	Bayesian network
dc.subject.other	Naive Bayes
dc.subject.other	Bayesian Network Structure Learning (BNSL)
dc.subject.other	rock type
dc.subject.other	mining geology
dc.subject.other	bluetooth beacon
dc.subject.other	classification and regression tree
dc.subject.other	gaussian naïve bayes
dc.subject.other	k-nearest neighbors
dc.subject.other	support vector machine
dc.subject.other	transport route
dc.subject.other	transport time
dc.subject.other	underground mine
dc.subject.other	tactical geometallurgy
dc.subject.other	data analytics in mining
dc.subject.other	ball mill throughput
dc.subject.other	measurement while drilling
dc.subject.other	non-additivity
dc.subject.other	coal
dc.subject.other	petrographic analysis
dc.subject.other	macerals
dc.subject.other	image analysis
dc.subject.other	semantic segmentation
dc.subject.other	convolutional neural networks
dc.subject.other	point cloud scaling
dc.subject.other	fragmentation size analysis
dc.subject.other	structure from motion
dc.subject.other	n/a
dc.title	Advances in Computational Intelligence Applications in the Mining Industry
dc.type	book
oapen.identifier.doi	10.3390/books978-3-0365-3158-8
oapen.relation.isPublishedBy	46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn	9783036531595
oapen.relation.isbn	9783036531588
oapen.pages	324
oapen.place.publication	Basel

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