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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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Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs
| Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs |
| Autore | Rauch Erwin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (348 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
advanced manufacturing
anthropocentric design ARENA®, time study artificial intelligence assembly assembly supply chain assessment assessment model awareness Best-Worst Method BPMN business process management cloud platform collaborative robotics complexity indicators concept disambiguation concept investigation customer's perception cyber-physical production systems cyber-physical systems deep learning digital twin e-business modelling energy efficient operation field study hierarchical clustering human factors human-centered design human-machine interaction human-robot collaboration India industry 4.0 Industry 4.0 infeasible configurations Internet of Things knowledge discovery latent semantic analysis logistics 4.0 LSP Lifecycle Model machine learning manufacturing performance manufacturing process model manufacturing sustainability manufacturing system material handling systems MATLAB-Simulink Max-plus Algebra negative complexity Operator 4.0 overall equipment effectiveness physical ergonomics plant factory positive complexity product platform Quality Function Deployment similarity simulation small and medium sized enterprise small and medium sized enterprises small and medium-sized enterprises smart logistics smart manufacturing smart technologies SME SMEs stochastic event sustainability sustainable agriculture sustainable methodologies technology adoption model testing criteria virtual quality management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557625503321 |
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Rauch Erwin
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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