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Advanced Analytics in Mining Engineering : Leverage Advanced Analytics in Mining Industry to Make Better Business Decisions / / edited by Ali Soofastaei
| Advanced Analytics in Mining Engineering : Leverage Advanced Analytics in Mining Industry to Make Better Business Decisions / / edited by Ali Soofastaei |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (XIII, 747 p. 337 illus., 215 illus. in color. :) : online resource |
| Disciplina |
622.028
622.0285 |
| Soggetto topico |
Operations research
Management science Data mining Industrial engineering Production engineering Mathematical models Computer science Operations Research, Management Science Data Mining and Knowledge Discovery Industrial and Production Engineering Mathematical Modeling and Industrial Mathematics Computer Science |
| ISBN |
9783030915896
3030915891 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Advanced analytics for mining industry.-Advanced analytics for modern mining.-Advanced analytics for ethical considerations in mining industry -- Advanced analytics for mining method selection -- Advanced analytics for valuation of mine prospects and mining projects -- Advanced analytics for mine exploration.-Advanced analytics for surface mining -- Advanced analytics for surface extraction -- Advanced analytics for surface mines planning -- Advanced analytics for dynamic programming -- Advanced analytics for drilling and blasting -- Advanced analytics for rock fragmentation -- Advanced analytics for rock blasting and explosives engineering in mining -- Advanced analytics for rock breaking -- Advanced analytics for mineral processing -- Advanced analytics for decreasing greenhouse gas emissions in surface mines -- Advanced analytics for Haul Trucks energy-efficiency improvement in surface mines -- Advanced analytics for mine materials handling -- Advanced analytics for mine materials transportation -- Advanced analytics for energy-efficiency improvement in mine-railway operation -- Advanced analytics for hard rock violent failure in underground excavations -- Advanced analytics for heat stress management in underground mines -- Advanced analytics for autonomous underground mining -- Advanced analytics for spatial variability of rock mass properties in underground mines. |
| Record Nr. | UNINA-9910548170803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Artificial Intelligence in Tunnelling and Underground Space Technology / / by Danial Jahed Armaghani, Aydin Azizi
| Applications of Artificial Intelligence in Tunnelling and Underground Space Technology / / by Danial Jahed Armaghani, Aydin Azizi |
| Autore | Armaghani Danial Jahed |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (IX, 70 p. 16 illus., 15 illus. in color.) |
| Disciplina | 622.028 |
| Collana | SpringerBriefs in Applied Sciences and Technology |
| Soggetto topico |
Engineering geology
Statistical Physics Geotechnical engineering Mathematical statistics Manufactures Engineering mathematics Geoengineering Geotechnical Engineering and Applied Earth Sciences Mathematical Statistics Machines, Tools, Processes Engineering Mathematics |
| ISBN | 981-16-1034-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. An Overview of Field Classifications to Evaluate Tunnel Boring Machine Performance -- Chapter 2. Empirical, Statistical and Intelligent Techniques for TBM Performance Prediction. Chapter 3. Developing Statistical Models for Solving Tunnel Boring Machine Performance Problem -- Chapter 4. A Comparative Study of Artificial Intelligence Techniques to Estimate TBM Performance in Various Weathering Zones. |
| Record Nr. | UNINA-9910483423303321 |
Armaghani Danial Jahed
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mining equipment reliability, maintainability and safety / B. S. Dhillon
| Mining equipment reliability, maintainability and safety / B. S. Dhillon |
| Autore | Dhillon, Balbir S. |
| Pubbl/distr/stampa | London : Springer, 2010 |
| Descrizione fisica | XVII, 201 p. ; 24 cm |
| Disciplina | 622.028 |
| Collana | Springer series in reliability engineering |
| Soggetto non controllato | Macchine - Sicurezza - Affidabilità |
| ISBN | 978-1-84996-770-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990010092760403321 |
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Dhillon, Balbir S.
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| London : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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