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Advances in Computational Intelligence Applications in the Mining Industry
| 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 online resource (324 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accidents
artificial intelligence ball mill throughput Bayesian network Bayesian Network Structure Learning (BNSL) bitumen extraction bitumen processability blast impact bluetooth beacon classification and regression tree coal convolutional neural networks damage risk analysis data analytics in mining decision trees digital twin dimensionality reduction discrete event simulation empirical model epithermal gold fragmentation fragmentation size analysis gaussian naïve bayes geological uncertainty geostatistics grinding circuits health and safety management hyperspectral imaging image analysis k-nearest neighbors knowledge discovery macerals machine learning masonry buildings measurement while drilling mine optimization mine safety and health mine worker fatigue mine-to-mill mineral prospectivity mapping minerals processing mining mining equipment uncertainties mining exploitation mining geology modes of operation multispectral imaging multivariate statistics n/a Naive Bayes narratives natural language processing neighbourhood component analysis non-additivity oil sands operational data ore control orebody uncertainty partial least squares regression petrographic analysis point cloud scaling Q-learning random forest random forest algorithm random forest classification random forest model rock type semantic segmentation stockpiles structure from motion support vector machine tactical geometallurgy transport route transport time truck dispatching underground mine unstructured data variable importance |
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Novel Methods and Applications for Mineral Exploration
| Novel Methods and Applications for Mineral Exploration |
| Autore | Alexandre Paul |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (264 p.) |
| Soggetto topico | Earth sciences, geography, environment, planning |
| Soggetto non controllato |
(co)-simulation
3D mineral prospectivity modeling area under the curve Axi deposit bat algorithm cross-gradients constraints CSAMT data-space deep mineral exploration dual-frequency IP elastic-net regularization epithermal gold deposits exploration exploration targeting GA-SVR geochemical exploration geochemical fingerprinting grain size analysis granite gravity gravity gradiometry inversion Jinchuan Cu-Ni sulfide deposit joint inversion JORC code Kagenfels laser-induced breakdown spectroscopy LCT LIBS limestone deposit lithium magnetotelluric micro-imaging mineral exploration mineral prospectivity mapping mineral resource classification mineral texture model-space MT Natzwiller niobium one-class support vector machine pegmatite project pursuit multivariate transform QEMSCAN® receiver operating characteristic spatial analysis stream sediments targeting tungsten Variscan orogeny Vosges Youden index |
| ISBN | 3-03928-944-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404081303321 |
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Alexandre Paul
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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