Ramesh m bhatawdekar (14 risultati)
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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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.
Environmental Issues of Blasting: Applications of Artificial Intelligence Techniques (SpringerBriefs in Applied Sciences and Technology)
Bhatawdekar, Ramesh M.; Armaghani, Danial Jahed; Azizi, Aydin
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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Condizione: New. In.
Lingua: Inglese
Editore: Springer 2022-01, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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PF. Condizione: New.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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Condizione: New.
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Altre immaginiLingua: Inglese
Editore: Springer, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. 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, Tie…rgartenstr. 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
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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Condizione: new. Questo è un articolo print on demand.
Environmental Issues of Blasting: Applications of Artificial Intelligence Techniques
Bhatawdekar, Ramesh M. (Author)/ Armaghani, Danial Jahed (Author)/ Azizi, Aydin (Author)
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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Paperback. Condizione: Brand New. 86 pages. 9.25x6.10x0.18 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Springer Nature Singapore Jan 2022, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: 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 p…roject 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.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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Condizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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Condizione: 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 durin…g blasting to fracture rock in order to a.
Lingua: Inglese
Editore: Springer, Springer Jan 2022, 2022
Serie: Libro 183 di 472 - SpringerBriefs in Applied Sciences and Technology
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: 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 proje…ct 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.
