Computational Intelligence Methods for Green Technology and Sustainable Development: Proceedings of the International Conference GTSD2024, Volume 1
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Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer Nature Switzerland
2024
Cham Springer |
Ausgabe: | 1st ed. 2024 |
Schriftenreihe: | Lecture Notes in Networks and Systems
1195 |
Schlagworte: | |
Online-Zugang: | DE-522 DE-634 DE-1043 DE-1046 DE-1028 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-863 DE-862 DE-523 DE-91 DE-706 DE-29 DE-739 Volltext |
Beschreibung: | 1 Online-Ressource (IX, 366 p. 188 illus., 159 illus. in color) |
ISBN: | 9783031761973 |
ISSN: | 2367-3389 |
DOI: | 10.1007/978-3-031-76197-3 |
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Datensatz im Suchindex
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author_facet | Huang, Yo-Ping Wang, Wen-June Le, Hieu-Giang Hoang, An-Quoc |
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doi_str_mv | 10.1007/978-3-031-76197-3 |
edition | 1st ed. 2024 |
format | Electronic eBook |
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spelling | Computational Intelligence Methods for Green Technology and Sustainable Development Proceedings of the International Conference GTSD2024, Volume 1 edited by Yo-Ping Huang, Wen-June Wang, Hieu-Giang Le, An-Quoc Hoang 1st ed. 2024 Cham Springer Nature Switzerland 2024 Cham Springer 1 Online-Ressource (IX, 366 p. 188 illus., 159 illus. in color) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Networks and Systems 1195 2367-3389 Computational Intelligence Data Engineering Energy Policy, Economics and Management Computational intelligence Engineering / Data processing Energy policy Energy and state Huang, Yo-Ping edt Wang, Wen-June edt Le, Hieu-Giang edt Hoang, An-Quoc edt Erscheint auch als Druck-Ausgabe 978-3-031-76196-6 Erscheint auch als Druck-Ausgabe 978-3-031-76198-0 https://doi.org/10.1007/978-3-031-76197-3 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Computational Intelligence Methods for Green Technology and Sustainable Development Proceedings of the International Conference GTSD2024, Volume 1 Computational Intelligence Data Engineering Energy Policy, Economics and Management Computational intelligence Engineering / Data processing Energy policy Energy and state |
title | Computational Intelligence Methods for Green Technology and Sustainable Development Proceedings of the International Conference GTSD2024, Volume 1 |
title_auth | Computational Intelligence Methods for Green Technology and Sustainable Development Proceedings of the International Conference GTSD2024, Volume 1 |
title_exact_search | Computational Intelligence Methods for Green Technology and Sustainable Development Proceedings of the International Conference GTSD2024, Volume 1 |
title_full | Computational Intelligence Methods for Green Technology and Sustainable Development Proceedings of the International Conference GTSD2024, Volume 1 edited by Yo-Ping Huang, Wen-June Wang, Hieu-Giang Le, An-Quoc Hoang |
title_fullStr | Computational Intelligence Methods for Green Technology and Sustainable Development Proceedings of the International Conference GTSD2024, Volume 1 edited by Yo-Ping Huang, Wen-June Wang, Hieu-Giang Le, An-Quoc Hoang |
title_full_unstemmed | Computational Intelligence Methods for Green Technology and Sustainable Development Proceedings of the International Conference GTSD2024, Volume 1 edited by Yo-Ping Huang, Wen-June Wang, Hieu-Giang Le, An-Quoc Hoang |
title_short | Computational Intelligence Methods for Green Technology and Sustainable Development |
title_sort | computational intelligence methods for green technology and sustainable development proceedings of the international conference gtsd2024 volume 1 |
title_sub | Proceedings of the International Conference GTSD2024, Volume 1 |
topic | Computational Intelligence Data Engineering Energy Policy, Economics and Management Computational intelligence Engineering / Data processing Energy policy Energy and state |
topic_facet | Computational Intelligence Data Engineering Energy Policy, Economics and Management Computational intelligence Engineering / Data processing Energy policy Energy and state |
url | https://doi.org/10.1007/978-3-031-76197-3 |
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