Language: English
Published by Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811682364 ISBN 13: 9789811682360
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Paperback. Condition: 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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Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032373423 ISBN 13: 9781032373423
Seller: Revaluation Books, Exeter, United Kingdom
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Condition: 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.
Language: English
Published by Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811682364 ISBN 13: 9789811682360
Seller: AussieBookSeller, Truganina, VIC, Australia
First Edition
Paperback. Condition: 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.
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811682364 ISBN 13: 9789811682360
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Taschenbuch. Condition: 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.
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Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032373377 ISBN 13: 9781032373379
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Language: English
Published by Taylor & Francis Ltd Jun 2026, 2026
ISBN 10: 1032373423 ISBN 13: 9781032373423
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Hardcover. Condition: Très bon. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Ammareal gives back up to 15% of this item's net price to charity organizations.
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