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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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Greening Urban Spaces: A Healthy Community Design
| Greening Urban Spaces: A Healthy Community Design |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (264 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
accessibility
applied research art construction big data big data technology buffer radius China community parks community space Community spatial structure planning community structure cultural image cultural landscape heritage different research scales diversity driving factors ecological environment ecological well-being performance ecosystem services enterprise digital transformation environmental cognition environmental regulation equity farmland FCEM FCEM manufacturing enterprises G2SFCA GIS-DEA-MI model government governance green ecology green space quality greening urban spaces health and safety management health security healthy city healthy community heritage preservation and utilization international law of marine environmental protection international public safety internet of things landscape pattern metrics life circle mediating effect meta-regression analysis mixed methods park usage PSO-K-means public health public transit rail transit richness rural environment spatial Durbin model street design street spatial patterns street vitality super-SBM model sustainable development sustainable development efficiency system building topographic transit fare travel time urban fringe urban green space urban innovation urban public service system value transfer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Greening Urban Spaces |
| Record Nr. | UNINA-9910743277403321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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