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Advances in Computational Intelligence Applications in the Mining Industry

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 adv...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2022
Soggetti:
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accesso online:ONIX_20220321_9783036531595_39
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Accesso online

ONIX_20220321_9783036531595_39

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