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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Systems Engineering: Availability and Reliability |
Autore | Antosz Katarzyna |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (318 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
Quality check
bike frame mathematical model graphical user interface risk management safety assurance medical parallel robot robotic assisted cancer treatment risk performance reasoning hidden Markov model Handy bauxite carrier process safety performance evaluation safety coupling correlation risk assessment multi-dimensional theory precision steel tape tape transportation roller-tape interactions roller-tape contact pair reliability truck unloading system petroleum equipment preventive maintenance cork-rubber composites compression apparent compression modulus Young's modulus bonded condition importance measure cost inventory systems air compression system nitrogen generation system utility module availability sensitivity analysis predictive maintenance Industry 4.0 Internet of Things artificial intelligence machine learning maintenance predictive scheduling flow shop job shop ant colony optimisation on-line monitoring collaborative robots human robot collaboration time between failure (TBF) common beta hypothesis (CBH) test meta-analysis level of heterogeneity mean time between failure (MTBF) text mining network-based distributed manufacturing systems moth flame optimization algorithm support vector machines Naive Bayes random forest decision trees supplier classification machining centre DSM Copula function fault propagation intensity fault propagation behaviour lubricity gear oil wear operational reliability |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Systems Engineering |
Record Nr. | UNINA-9910580215603321 |
Antosz Katarzyna
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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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