Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research: For Sustainable Development Goals
Gespeichert in:
Weitere Verfasser: | , , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
Springer Nature Singapore
2024
Singapore Springer |
Ausgabe: | 1st ed. 2024 |
Schriftenreihe: | Advances in Geographical and Environmental Sciences
|
Schlagworte: | |
Online-Zugang: | DE-634 DE-1046 DE-1028 DE-1050 DE-M347 DE-91 DE-384 DE-19 DE-703 DE-824 DE-739 Volltext |
Beschreibung: | 1 Online-Ressource (VIII, 339 p. 127 illus., 117 illus. in color) |
ISBN: | 9789819716852 |
ISSN: | 2198-3550 |
DOI: | 10.1007/978-981-97-1685-2 |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author2 | Tripathi, Gaurav Shakya, Achala Kanga, Shruti Singh, Suraj Kumar Rai, Praveen Kumar |
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edition | 1st ed. 2024 |
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id | DE-604.BV049725343 |
illustrated | Not Illustrated |
indexdate | 2024-07-20T07:34:53Z |
institution | BVB |
isbn | 9789819716852 |
issn | 2198-3550 |
language | English |
oclc_num | 1437871058 |
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physical | 1 Online-Ressource (VIII, 339 p. 127 illus., 117 illus. in color) |
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spelling | Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research For Sustainable Development Goals edited by Gaurav Tripathi, Achala Shakya, Shruti Kanga, Suraj Kumar Singh, Praveen Kumar Rai 1st ed. 2024 Singapore Springer Nature Singapore 2024 Singapore Springer 1 Online-Ressource (VIII, 339 p. 127 illus., 117 illus. in color) txt rdacontent c rdamedia cr rdacarrier Advances in Geographical and Environmental Sciences 2198-3550 Climate Sciences Big Data Artificial Intelligence Data Analysis and Big Data Sustainability Climatology Big data Artificial intelligence Quantitative research Tripathi, Gaurav edt Shakya, Achala edt Kanga, Shruti edt Singh, Suraj Kumar edt Rai, Praveen Kumar edt Erscheint auch als Druck-Ausgabe 978-981-9716-84-5 Erscheint auch als Druck-Ausgabe 978-981-9716-86-9 Erscheint auch als Druck-Ausgabe 978-981-9716-87-6 https://doi.org/10.1007/978-981-97-1685-2 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research For Sustainable Development Goals Climate Sciences Big Data Artificial Intelligence Data Analysis and Big Data Sustainability Climatology Big data Artificial intelligence Quantitative research |
title | Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research For Sustainable Development Goals |
title_auth | Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research For Sustainable Development Goals |
title_exact_search | Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research For Sustainable Development Goals |
title_full | Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research For Sustainable Development Goals edited by Gaurav Tripathi, Achala Shakya, Shruti Kanga, Suraj Kumar Singh, Praveen Kumar Rai |
title_fullStr | Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research For Sustainable Development Goals edited by Gaurav Tripathi, Achala Shakya, Shruti Kanga, Suraj Kumar Singh, Praveen Kumar Rai |
title_full_unstemmed | Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research For Sustainable Development Goals edited by Gaurav Tripathi, Achala Shakya, Shruti Kanga, Suraj Kumar Singh, Praveen Kumar Rai |
title_short | Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research |
title_sort | big data artificial intelligence and data analytics in climate change research for sustainable development goals |
title_sub | For Sustainable Development Goals |
topic | Climate Sciences Big Data Artificial Intelligence Data Analysis and Big Data Sustainability Climatology Big data Artificial intelligence Quantitative research |
topic_facet | Climate Sciences Big Data Artificial Intelligence Data Analysis and Big Data Sustainability Climatology Big data Artificial intelligence Quantitative research |
url | https://doi.org/10.1007/978-981-97-1685-2 |
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