Advances in Computational Intelligence Applications in the Mining Industry |
Autore | Ganguli Rajive |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (324 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
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 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557613103321 |
Ganguli Rajive
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas |
Autore | Pour Amin Beiranvand |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (416 p.) |
Soggetto topico |
Research & information: general
Geography |
Soggetto non controllato |
Toroud–Chahshirin Magmatic Belt (TCMB)
remote sensing ASTER hydrothermally altered zones polymetallic vein-type mineralization emissivity emissivity normalization method dolomite phosphorite relative band depth (RBD) Bowers Terrane listvenite hydrothermal/metasomatic alteration minerals damage zones Northern Victoria Land Antarctica multispectral and radar data data fusion gold mineralization Wadi Beitan–Wadi Rahaba structural control Najd Fault System South Eastern Desert Egypt hyperspectral Goldstrike Carlin-type decarbonatization argillization Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) Sentinel 2 Synthetic Aperture Radar (SAR) data Egyptian Eastern Desert transpression and transtension zones Landsat-8 WorldView-3 the Inglefield Mobile Belt (IMB) copper-gold mineralization High Arctic regions epithermal gold hydrothermal alteration Ahar-Arasbaran region Landsat-7 ETM+ Bayesian Network Classifiers hyperspectral imaging drill-core SWIR mineral abundance mapping mineral association machine learning band ratios principal component analysis (PCA) fuzzy logic modeling Kashmar–Kerman tectonic zone (KKTZ) carbonate-hosted Pb-Zn mineralization Iran dimensionality reduction principal component analysis independent component analysis minimum noise fraction fuzzy logic riverbed metals electrical resistivity imaging tailings Mar Menor Cartagena–La Unión unmanned aerial systems multispectral magnetic geologic mapping drones UAV dust dispersion spectra canopy scale pixel scale mining area mineral exploration multispectral and hyperspectral data mining |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557499703321 |
Pour Amin Beiranvand
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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