Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emergencies and Public Health Crisis Management- Current Perspectives on Risks and Multiagency Collaboration
| Emergencies and Public Health Crisis Management- Current Perspectives on Risks and Multiagency Collaboration |
| Autore | Khorram-Manesh Amir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (188 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
3LC
animal-rights extremism capacity collaboration community concurrent learning coronavirus (COVID-19) COVID-19 crisis crisis management critical infrastructure cycle of expansive learning deep ecology disaster disasters drinking water ecologically motivated violence ecoterrorism emergencies emergency emergency department environmental extremism exercise exercises flexible flexible surge capacity full-scale exercises healthcare healthcare workers hospital preparedness hospitals inter-organisational interaction job engagement leadership learning length of stay major incident management n/a nurse off-shore on-shore organizational learning preparedness public health public-private partnerships (PPPs) triage readiness resilience risk management risk reduction social support surge surge capacity Sweden Thailand underground mine unforeseen urgent care centre utility |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557584403321 |
|
Khorram-Manesh Amir
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mining Technologies Innovative Development
| Mining Technologies Innovative Development |
| Autore | Zhironkin Sergey |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (362 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
acoustic signal processing
automatic detection ball mill ball mills belt conveyor circular economy completion of wells computational fluid dynamics convergence functions copper ore comminution deep underground min DEM model diagnostics drill bit drilling drilling rig drive system elastic modulus ELECTRE III electric current acquisition electric motor electro-hydraulic control system energetic efficiency energy efficiency engine oil pressure data envelope spectrum Euclidean distance excavations stability assessment fluid coupling gas hazards grinding high horizontal stress high-pressure water jet hydro-jet mill Industry 4.0 in mining innovative technology intensification of production internal dynamics IoT devices laboratory splice tests laser scanning LHD machine diagnostics manufacturing error material mathematical morphology measurements mechanical failure methane release hazard mining equipment mobile laser scanning model multiple criteria decision making (MCDM) multiply belt splices multiply conveyor belts n/a new ways of mine reclamation nonlinear law numerical model geometry numerical modeling oil pump wear open pit mine operational cycles pipe powered roof support preventative maintenance process monitoring radar interferometry resonance oscillations Riegl scanning system rock mass safety safety function search and rescue smartphone sound measurement spontaneous combustion hazard statistical analysis subsidence trough surface mining sustainability textile conveyor belts thermal imaging threshold-based segmentation UAV underground laboratory underground mine underground mining Velodyne LiDAR ventilation systems well reamer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557616303321 |
|
Zhironkin Sergey
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||