Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811682364 ISBN 13: 9789811682360
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
Paperback. Condizione: new. Paperback. This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards. This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 436 pages. 6.14x1.04x9.21 inches. In Stock.
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Aggiungi al carrelloCondizione: New. Manoj Khandelwal is an Associate Professor and undergraduate and postgraduate program coordinator of mining engineering at the Institute of Innovation, Science and Sustainability, Federation University Australia, Australia. Danial Jahed Armaghani is a Re.
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811682364 ISBN 13: 9789811682360
Da: AussieBookSeller, Truganina, VIC, Australia
Prima edizione
EUR 98,58
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards. This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811682364 ISBN 13: 9789811682360
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 67,57
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rockmasses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.
Da: preigu, Osnabrück, Germania
EUR 59,30
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Environmental Issues of Blasting | Applications of Artificial Intelligence Techniques | Ramesh M. Bhatawdekar (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | ix | Englisch | 2022 | Springer | EAN 9789811682360 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 112,22
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Taylor & Francis Ltd Jun 2026, 2026
ISBN 10: 1032373423 ISBN 13: 9781032373423
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 109,30
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Da: Ammareal, Morangis, Francia
EUR 160,00
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Da: Ammareal, Morangis, Francia
EUR 160,00
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Da: Brook Bookstore On Demand, Napoli, NA, Italia
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