2002, 1st ed., Process metallurgy., ISBN 0444503129, Volume 12., 387
This volume is concerned with the analysis and interpretation of multivariate measurements commonly found in the mineral and metallurgical industries, with the...
Metallurgy | Metallurgical research | Neural networks (Computer science)
Metallurgy | Metallurgical research | Neural networks (Computer science)
Book
Minerals Engineering, ISSN 0892-6875, 08/2013, Volume 49, pp. 77 - 91
In this study, the current understanding of the factors affecting the consumption of steel media in comminution systems in mineral processing are reviewed,...
Comminution | Models | Wear | Grinding media | CORROSIVE WEAR | ORE | AUSTEMPERED DUCTILE IRON | FLOTATION | BALL WEAR | PERFORMANCE | BEHAVIOR | ENGINEERING, CHEMICAL | ABRASIVE WEAR | MINING & MINERAL PROCESSING | GALVANIC INTERACTION | MINERALOGY | ELECTROCHEMICAL ASPECTS | Steel | Consumption data | Analysis | Abrasion | Abrasion resistance | Media | Mills | Mathematical models | Steels
Comminution | Models | Wear | Grinding media | CORROSIVE WEAR | ORE | AUSTEMPERED DUCTILE IRON | FLOTATION | BALL WEAR | PERFORMANCE | BEHAVIOR | ENGINEERING, CHEMICAL | ABRASIVE WEAR | MINING & MINERAL PROCESSING | GALVANIC INTERACTION | MINERALOGY | ELECTROCHEMICAL ASPECTS | Steel | Consumption data | Analysis | Abrasion | Abrasion resistance | Media | Mills | Mathematical models | Steels
Journal Article
Nature Genetics, ISSN 1061-4036, 06/2013, Volume 45, Issue 6, pp. 690 - 696
Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We...
COMMON VARIANTS | GENETIC-VARIATION | MULTILOCUS GENOTYPE DATA | POSITIVE SELECTION | FTO GENE | GENETICS & HEREDITY | SEQUENCE VARIANTS | RISK | ADULT OBESITY | GENOME-WIDE ASSOCIATION | HUMAN-POPULATIONS | Body Mass Index | Genetic Predisposition to Disease | Genome-Wide Association Study | Gene Frequency | Humans | Obesity - ethnology | African Americans - genetics | Polymorphism, Single Nucleotide | Genetic Loci | Obesity - genetics | Case-Control Studies | Linkage Disequilibrium | Quantitative trait loci | Body mass index | Demographic aspects | Physiological aspects | Genetic aspects | Research | Single nucleotide polymorphisms | Identification and classification | Women | Genealogy | African Americans | Genetics | Statistical methods | Genomes | Meta-analysis
COMMON VARIANTS | GENETIC-VARIATION | MULTILOCUS GENOTYPE DATA | POSITIVE SELECTION | FTO GENE | GENETICS & HEREDITY | SEQUENCE VARIANTS | RISK | ADULT OBESITY | GENOME-WIDE ASSOCIATION | HUMAN-POPULATIONS | Body Mass Index | Genetic Predisposition to Disease | Genome-Wide Association Study | Gene Frequency | Humans | Obesity - ethnology | African Americans - genetics | Polymorphism, Single Nucleotide | Genetic Loci | Obesity - genetics | Case-Control Studies | Linkage Disequilibrium | Quantitative trait loci | Body mass index | Demographic aspects | Physiological aspects | Genetic aspects | Research | Single nucleotide polymorphisms | Identification and classification | Women | Genealogy | African Americans | Genetics | Statistical methods | Genomes | Meta-analysis
Journal Article
Minerals Engineering, ISSN 0892-6875, 01/2018, Volume 115, pp. 68 - 78
Deep learning constitutes a significant recent advance in machine learning and has been particularly successful in applications related to image processing,...
Deep learning | AlexNet | Convolution Neural Networks | Image analysis | Machine vision | Froth flotation | FLOTATION | VISION | FEATURE-EXTRACTION | PERFORMANCE | COAL | CLASSIFICATION | MODEL | PREDICTION | FEATURES | ENGINEERING, CHEMICAL | MINING & MINERAL PROCESSING | GRADE | MINERALOGY | Case studies | Usage | Algorithms | Image processing | Neural networks | Analysis | Machine learning
Deep learning | AlexNet | Convolution Neural Networks | Image analysis | Machine vision | Froth flotation | FLOTATION | VISION | FEATURE-EXTRACTION | PERFORMANCE | COAL | CLASSIFICATION | MODEL | PREDICTION | FEATURES | ENGINEERING, CHEMICAL | MINING & MINERAL PROCESSING | GRADE | MINERALOGY | Case studies | Usage | Algorithms | Image processing | Neural networks | Analysis | Machine learning
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2011, Volume 8285
Image segmentation is an important and difficult step for automatic rock particle size distribution estimation. In this paper, we propose a method for the...
rock particulate size | Image-classification system | Voronoi Diagram | componet | Watershed | Rock | Image processing | Segmentation | Images | Markers | Transforms | Watersheds | Image contrast
rock particulate size | Image-classification system | Voronoi Diagram | componet | Watershed | Rock | Image processing | Segmentation | Images | Markers | Transforms | Watersheds | Image contrast
Conference Proceeding
European Journal of Operational Research, ISSN 0377-2217, 2011, Volume 211, Issue 1, pp. 112 - 121
Solving multi-objective problems requires the evaluation of two or more conflicting objective functions, which often demands a high amount of computational...
Simulation | Pareto-optimal | Stochastic processes | Cross-entropy | Multi-objective optimisation | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | TIMES | GLOBAL OPTIMIZATION | INVENTORY SYSTEMS | EVOLUTIONARY ALGORITHMS | GENETIC ALGORITHM | Simulation Cross-entropy Stochastic processes Multi-objective optimisation Pareto-optimal | Demand | Computer simulation | Dynamics | Mathematical analysis | Mathematical models | Stochasticity | Optimization | Marketing
Simulation | Pareto-optimal | Stochastic processes | Cross-entropy | Multi-objective optimisation | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | TIMES | GLOBAL OPTIMIZATION | INVENTORY SYSTEMS | EVOLUTIONARY ALGORITHMS | GENETIC ALGORITHM | Simulation Cross-entropy Stochastic processes Multi-objective optimisation Pareto-optimal | Demand | Computer simulation | Dynamics | Mathematical analysis | Mathematical models | Stochasticity | Optimization | Marketing
Journal Article
European Journal of Operational Research, ISSN 0377-2217, 05/2011, Volume 211, Issue 1, p. 112
Solving multi-objective problems requires the evaluation of two or more conflicting objective functions, which often demands a high amount of computational...
Studies | Computer simulation | Optimization algorithms | Stochastic models | Convergence
Studies | Computer simulation | Optimization algorithms | Stochastic models | Convergence
Journal Article
International Journal of Rock Mechanics and Mining Sciences, ISSN 1365-1609, 05/2016, Volume 85, pp. 187 - 191
* An electronic device was developed to safeguard miners from rock fall accidents. * With this device, acoustic signals were collected from rocks tapped with a...
Mining | Acoustic sensor | Rock stability | Machine learning | Mineral industry | Mining industry | Sensors
Mining | Acoustic sensor | Rock stability | Machine learning | Mineral industry | Mining industry | Sensors
Journal Article
2013, Advances in computer vision and pattern recognition, ISBN 1447151852
Web Resource
2015, ISBN 0820348155, xiii, 252
Book
2013, 2013, Advances in Computer Vision and Pattern Recognition, ISBN 1447151844, 388
This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine learning methods....
Artificial intelligence | Machine learning | Manufacturing processes
Artificial intelligence | Machine learning | Manufacturing processes
eBook
矿业科学技术学报:英文版, ISSN 2095-2686, 2013, Volume 23, Issue 3, pp. 407 - 413
Coal flotation is widely used to separate commercially valuable coal from the fine ore slurry, and is an industrial process with nonlinear, multivariable,...
Coal flotation | Optimizing control | Neural networks | Neuro-immune algorithm | Immune system
Coal flotation | Optimizing control | Neural networks | Neuro-immune algorithm | Immune system
Journal Article
Pediatric Neurology, ISSN 0887-8994, 2016, Volume 61, pp. 28 - 37
Abstract Background Electroencephalography (EEG) has been used for almost a century to identify seizure-related disorders in humans, typically through expert...
Pediatrics | Neurology | resting-state electroencephalography | autism spectrum disorder | biomarker | EEG | EEG ABNORMALITIES | STABILITY | POWER | CLINICAL NEUROLOGY | CHILDREN | VARIABILITY | PEDIATRICS | SEX-DIFFERENCES | TEST-RETEST RELIABILITY | COHERENCE | BRAIN | AGE | Rest | Electroencephalography - methods | Brain - physiopathology | Humans | Autism Spectrum Disorder - diagnosis | Autism Spectrum Disorder - physiopathology | Autism | Mineral industry | Electroencephalography | Seizures (Medicine) | Biological markers | Mining industry | Mechanical engineering
Pediatrics | Neurology | resting-state electroencephalography | autism spectrum disorder | biomarker | EEG | EEG ABNORMALITIES | STABILITY | POWER | CLINICAL NEUROLOGY | CHILDREN | VARIABILITY | PEDIATRICS | SEX-DIFFERENCES | TEST-RETEST RELIABILITY | COHERENCE | BRAIN | AGE | Rest | Electroencephalography - methods | Brain - physiopathology | Humans | Autism Spectrum Disorder - diagnosis | Autism Spectrum Disorder - physiopathology | Autism | Mineral industry | Electroencephalography | Seizures (Medicine) | Biological markers | Mining industry | Mechanical engineering
Journal Article
Minerals Engineering, ISSN 0892-6875, 08/2012, Volume 35, pp. 27 - 42
Variable importance measures derived from a random forest model of the throughput of a calcium carbide furnace depending on nine process variables. The dummy...
Comminution | Modelling | Pyrometallurgy | ENGINEERING, CHEMICAL | MODELS | MINING & MINERAL PROCESSING | GENES | MACHINE | MINERALOGY
Comminution | Modelling | Pyrometallurgy | ENGINEERING, CHEMICAL | MODELS | MINING & MINERAL PROCESSING | GENES | MACHINE | MINERALOGY
Journal Article
Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, 2011, Volume 105, Issue 2, pp. 157 - 170
Tree ensembles are becoming well-established as popular and powerful data modelling techniques. Tree ensemble models are essentially black box models, although...
Fault identification | Variable importance | Boosted trees | Decision trees | Ensemble learning | Conditional inference forests | Random forests | REGRESSION | CHEMISTRY, ANALYTICAL | STATISTICS & PROBABILITY | COMPOUND CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | INSTRUMENTS & INSTRUMENTATION | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | FRAMEWORK | MACHINE | SELECTION | AUTOMATION & CONTROL SYSTEMS | TOOL
Fault identification | Variable importance | Boosted trees | Decision trees | Ensemble learning | Conditional inference forests | Random forests | REGRESSION | CHEMISTRY, ANALYTICAL | STATISTICS & PROBABILITY | COMPOUND CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | INSTRUMENTS & INSTRUMENTATION | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | FRAMEWORK | MACHINE | SELECTION | AUTOMATION & CONTROL SYSTEMS | TOOL
Journal Article
2012, The Nissan Institute/Routledge Japanese studies series, ISBN 0415698561, xxi, 302
"The March 2011 earthquake and tsunami in Japan plunged the country into a state of crisis. As the nation struggled to recover from a record breaking magnitude...
Tohoku Earthquake and Tsunami, Japan, 2011 | Nuclear power plants | Disaster relief | Accidents | History | Japanese Economics | International Political Economy | Environmental Policy | Japanese History | Hazards & Disasters | Public Administration & Management | Japanese Culture & Society | Politics & the Media | Environmental Studies | Japanese Politics | Asian Studies | Environmental Issues | Japanese Studies | Disaster relief - Japan
Tohoku Earthquake and Tsunami, Japan, 2011 | Nuclear power plants | Disaster relief | Accidents | History | Japanese Economics | International Political Economy | Environmental Policy | Japanese History | Hazards & Disasters | Public Administration & Management | Japanese Culture & Society | Politics & the Media | Environmental Studies | Japanese Politics | Asian Studies | Environmental Issues | Japanese Studies | Disaster relief - Japan
Book
Minerals Engineering, ISSN 0892-6875, 2006, Volume 19, Issue 11, pp. 1137 - 1137
Journal Article
Minerals Engineering, ISSN 0892-6875, 08/2017, Volume 110, pp. 153 - 165
Selective sulfation-roast-water leach process of a complex, chromite-rich Cu-Ni-PGM ore to dissolve water-soluble base metal sulfates contained therein was...
Ni leaching | Chromitite | Sulfation roast | Response surface methodology | Cu leaching | PGM ore | DESIGN | ENERGY | FLOTATION | MINERALS | ADSORPTION | THERMAL-DECOMPOSITION | ENGINEERING, CHEMICAL | EXTRACTION | GOLD ORES | PLATINUM-GROUP METALS | MINING & MINERAL PROCESSING | CYANIDE | MINERALOGY | Furnaces | Chemical tests and reagents | Analysis | Chromium | Spinel group | Mineral industry | Sulfates | Leaching |
Ni leaching | Chromitite | Sulfation roast | Response surface methodology | Cu leaching | PGM ore | DESIGN | ENERGY | FLOTATION | MINERALS | ADSORPTION | THERMAL-DECOMPOSITION | ENGINEERING, CHEMICAL | EXTRACTION | GOLD ORES | PLATINUM-GROUP METALS | MINING & MINERAL PROCESSING | CYANIDE | MINERALOGY | Furnaces | Chemical tests and reagents | Analysis | Chromium | Spinel group | Mineral industry | Sulfates | Leaching |