Bhatawdekar Ramesh M (14 results)
Language: English
Published by Springer Verlag, Singapore, Singapore, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
- First Edition
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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.
Language: English
Published by Springer, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
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Environmental Issues of Blasting: Applications of Artificial Intelligence Techniques (SpringerBriefs in Applied Sciences and Technology)
Bhatawdekar, Ramesh M.; Armaghani, Danial Jahed; Azizi, Aydin
Language: English
Published by Springer, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
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Language: English
Published by Springer 2022-01, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
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Language: English
Published by Springer, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
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Language: English
Published by Springer Verlag, Singapore, Singapore, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
- First Edition
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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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
More imagesLanguage: English
Published by Springer, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
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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, Tier…gartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Environmental Issues of Blasting: Applications of Artificial Intelligence Techniques (SpringerBriefs in Applied Sciences and Technology)
Bhatawdekar, Ramesh M., Armaghani, Danial Jahed, Azizi, Aydi
Language: English
Published by Springer, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Environmental Issues of Blasting: Applications of Artificial Intelligence Techniques
Bhatawdekar, Ramesh M. (Author)/ Armaghani, Danial Jahed (Author)/ Azizi, Aydin (Author)
Language: English
Published by Springer, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
- Print on Demand
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Paperback. Condition: Brand New. 86 pages. 9.25x6.10x0.18 inches. In Stock. This item is printed on demand.
Language: English
Published by Springer Nature Singapore Jan 2022, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 pr…oject 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. 88 pp. Englisch.
Language: English
Published by Springer, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
- Print on Demand
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Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
- Print on Demand
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 a.
Language: English
Published by Springer, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by Springer, Springer Jan 2022, 2022
Series: Book 183 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 projec…t 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 88 pp. Englisch.
