Environmental Issues of Blasting: Applications of Artificial Intelligence Techniques
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Singapore
2021
Singapore Springer |
| Ausgabe: | 1st ed. 2021 |
| Schriftenreihe: | SpringerBriefs in Applied Sciences and Technology
|
| Schlagworte: | |
| Online-Zugang: | BFB01 TUM01 UBM01 UBT01 UBY01 Volltext |
| Beschreibung: | 1 Online-Ressource (IX, 77 p. 9 illus., 8 illus. in color) |
| ISBN: | 9789811682377 |
| ISSN: | 2191-5318 |
| DOI: | 10.1007/978-981-16-8237-7 |
Internformat
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Datensatz im Suchindex
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| author | Bhatawdekar, Ramesh M. Armaghani, Danial Jahed Azizi, Aydin |
| author_facet | Bhatawdekar, Ramesh M. Armaghani, Danial Jahed Azizi, Aydin |
| author_role | aut aut aut |
| author_sort | Bhatawdekar, Ramesh M. |
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| dewey-full | 550 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 550 - Earth sciences |
| dewey-raw | 550 |
| dewey-search | 550 |
| dewey-sort | 3550 |
| dewey-tens | 550 - Earth sciences |
| discipline | Geologie / Paläontologie Physik |
| discipline_str_mv | Geologie / Paläontologie Physik |
| doi_str_mv | 10.1007/978-981-16-8237-7 |
| edition | 1st ed. 2021 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:09:26Z |
| indexdate | 2024-07-10T09:22:32Z |
| institution | BVB |
| isbn | 9789811682377 |
| issn | 2191-5318 |
| language | English |
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| spelling | Bhatawdekar, Ramesh M. Verfasser aut Environmental Issues of Blasting Applications of Artificial Intelligence Techniques by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi 1st ed. 2021 Singapore Springer Singapore 2021 Singapore Springer 1 Online-Ressource (IX, 77 p. 9 illus., 8 illus. in color) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Applied Sciences and Technology 2191-5318 Geophysics Geoengineering Machine Learning Environmental Management Computational Intelligence Geotechnical Engineering and Applied Earth Sciences Engineering geology Machine learning Environmental management Computational intelligence Geotechnical engineering Armaghani, Danial Jahed aut Azizi, Aydin aut Erscheint auch als Druck-Ausgabe 978-981-1682-36-0 Erscheint auch als Druck-Ausgabe 978-981-1682-38-4 https://doi.org/10.1007/978-981-16-8237-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Bhatawdekar, Ramesh M. Armaghani, Danial Jahed Azizi, Aydin Environmental Issues of Blasting Applications of Artificial Intelligence Techniques Geophysics Geoengineering Machine Learning Environmental Management Computational Intelligence Geotechnical Engineering and Applied Earth Sciences Engineering geology Machine learning Environmental management Computational intelligence Geotechnical engineering |
| title | Environmental Issues of Blasting Applications of Artificial Intelligence Techniques |
| title_auth | Environmental Issues of Blasting Applications of Artificial Intelligence Techniques |
| title_exact_search | Environmental Issues of Blasting Applications of Artificial Intelligence Techniques |
| title_exact_search_txtP | Environmental Issues of Blasting Applications of Artificial Intelligence Techniques |
| title_full | Environmental Issues of Blasting Applications of Artificial Intelligence Techniques by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi |
| title_fullStr | Environmental Issues of Blasting Applications of Artificial Intelligence Techniques by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi |
| title_full_unstemmed | Environmental Issues of Blasting Applications of Artificial Intelligence Techniques by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi |
| title_short | Environmental Issues of Blasting |
| title_sort | environmental issues of blasting applications of artificial intelligence techniques |
| title_sub | Applications of Artificial Intelligence Techniques |
| topic | Geophysics Geoengineering Machine Learning Environmental Management Computational Intelligence Geotechnical Engineering and Applied Earth Sciences Engineering geology Machine learning Environmental management Computational intelligence Geotechnical engineering |
| topic_facet | Geophysics Geoengineering Machine Learning Environmental Management Computational Intelligence Geotechnical Engineering and Applied Earth Sciences Engineering geology Machine learning Environmental management Computational intelligence Geotechnical engineering |
| url | https://doi.org/10.1007/978-981-16-8237-7 |
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