Info
Advanced analytics in mining engineering : leverage advanced analytics in mining industry to make better business decisions / / Ali Soofastaei, editor
| Advanced analytics in mining engineering : leverage advanced analytics in mining industry to make better business decisions / / Ali Soofastaei, editor |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (XIII, 747 p. 337 illus., 215 illus. in color. :) : online resource |
| Disciplina | 622.028 |
| Soggetto topico |
Mineral industries - Data processing
Management science Mathematical models |
| ISBN |
9783030915896
3030915891 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910548170803321 |
| Cham, Switzerland : , : 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 Statistical Physics 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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