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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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Modelling and Calculation of Raw Material Industry
| Modelling and Calculation of Raw Material Industry |
| Autore | Czajka Krzysztof |
| Descrizione fisica | 1 online resource (250 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
acid leaching
activated carbon adsorption kinetics air flow aerodynamics air pollution air quality monitoring battery recycling belt conveyor bench testing biogas plant biomass ash boiler tube wastage coal ash cost of production diagnostics digestate dimension natural stone processing discrete event simulation downhill transport of overburden dual-frequency dynamic load ecological safety emission reduction methods energy conversion and storage energy recovery energy recovery rate FEM simulation fire-side corrosion fly ash fossil fuels fouling GHG emissions H2S heating and energy processes hydraulic leg hydrothermal carbonisation industrial waste treatment industrial-scale boilers inertial vibrator ion flotation Li-ion batteries mechanical test membrane processes metal recovery mine machine Mn(II) non-destructive inspection outdoor air quality pipe inspection PM1.0 PM10 PM2.5 power powered roof support pressure drop test prosumer purification and removal techniques pyrolysis quarry raw material sustainable use raw material sustainable-use fossil fuels recovery recuperation sieving screen sintering slagging SO2 specific energy consumption spectrum stable isotopes statistical regression stone waste street canyon sustainable manufacturing sustainable mining TG thermal analysis thermal lag unburned carbon used batteries VOC wall thickness measurement waste generation waste management waste recycling water recovery Zn(II) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595078003321 |
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Czajka Krzysztof
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Process Modeling in Pyrometallurgical Engineering
| Process Modeling in Pyrometallurgical Engineering |
| Autore | Saxen Henrik |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (642 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D molecular model
adaptive finite differences analysis tool angle of repose apparent activation energy arrhenius equation arsenate arsenic recovery arsenic removal arsenopyrite artificial intelligence basic oxygen furnace biomass blast furnace blast furnace hearth BOS reactor bubble motion burden distribution burden layer structure burden pile width C-H2 smelting reduction furnace carbon solution loss CFD CFD-DEM charcoal combustion rate charging system coalescence coke coke bed coke combustion rate combustion computational fluid dynamics computational fluid dynamics (CFD) conjugate heat transfer coordination number copper smelter copper smelting COREX COREX melter gasifier coupling effect Cr2O3 crystal size dead man decarburization DEM dimensional analysis Discrete Element Method discrete event simulation double impingement feeding system double-row side nozzles drainage dual gas injection dust ash dynamic model EAF electric arc furnace Electric Arc Furnace electrical energy consumption entrainment Eulerian multiphase flow fault detection and identification flat rolling flat-rolled wire flow behavior flow pattern fuel injection funneling flow gas flow gated recurrent unit genetic algorithm GPR hearth hearth drainage heating time horizontal single belt casting process (HSBC) hot rolling hot rolling planning Industry 4.0 interfacial phenomena ion-molecule coexistence theory iron and slag flow iron ore sintering process ironmaking blast furnace kinetic models LF refining slags Lignite lining wear liquid iron machine learning macroscopic shear bands main trough mass transfer coefficient mathematical model mathematical modeling matte-slag chemistry mechanism microwave and ultrasound modification mixed charging mixing time molten slag monomer blended fuel moving path multiple linear regression n/a natural gas neural network nickel-based alloy nickel-copper smelter normal pressure numerical model numerical simulation oxygen bottom blown oxygen consumption particle flow pattern PCA Peirce-smith converting pellet pile physical modeling porosity distribution prediction model process model processing maps quasi-particle quasi-particle fuel quasi-particle structure raceway evolution raceway size raceway zone radar data radiometric sensors RAFT refractory roasting roll design scrap melting secondary refining segregation models settling shape rolling Shuikoushan process simulation SKS slag entrapment slag eye solidification SPH spinel stainless steel slag statistical modeling steel refining steelmaking strain inhomogeneity structural characterization structural simulation supersonic coherent jet support vector data description tapholes temperature distribution thermodynamic model time sequence prediction TiN inclusion tire cord steel titanium distribution ratio TOU electricity pricing transient fluid of hot metal and molten slag trickle flow validation wall shear stress water model wire rod |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557580503321 |
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Saxen Henrik
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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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