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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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Statistical Data Modeling and Machine Learning with Applications
| Statistical Data Modeling and Machine Learning with Applications |
| Autore | Gocheva-Ilieva Snezhana |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (184 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
artificial neural networks
assessment banking brain-computer interface breast cancer subtyping CART ensembles and bagging categorical data citizen science classification classification and regression tree clustering CNN-LSTM architectures consensus models convexity cross-validation dam inflow prediction damped Newton data quality data-adaptive kernel functions deep forest EEG motor imagery ensemble model feature selection Gower's interpolation formula Gower's metric hedonic prices housing hyper-parameter optimization image data input predictor selection kernel clustering kernel density estimation long short-term memory machine learning mathematical competency METABRIC dataset mixed data multi-category classifier multi-omics data multidimensional scaling multivariate adaptive regression splines n/a non-linear optimization predictive models quantile regression real-time motion imagery recognition similarity stochastic gradient descent support vector machine wavelet transform |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557359003321 |
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Gocheva-Ilieva Snezhana
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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