Machine Learning Techniques for Smart City Applications: Trends and Solutions:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2022
Cham Springer |
| Ausgabe: | 1st ed. 2022 |
| Schriftenreihe: | Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FAN01 FAW01 FFW01 FHD01 FHM01 TUM01 UBA01 UBG01 UBM01 UBT01 UEI01 UPA01 URL des Erstveröffentlichers |
| Beschreibung: | 1 Online-Ressource (VIII, 226 p. 179 illus., 153 illus. in color) |
| ISBN: | 9783031088599 |
| ISSN: | 2522-8722 |
| DOI: | 10.1007/978-3-031-08859-9 |
Internformat
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| index_date | 2024-07-03T20:43:19Z |
| indexdate | 2024-07-10T09:39:43Z |
| institution | BVB |
| isbn | 9783031088599 |
| issn | 2522-8722 |
| language | English |
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| spelling | Machine Learning Techniques for Smart City Applications: Trends and Solutions edited by D. Jude Hemanth 1st ed. 2022 Cham Springer International Publishing 2022 Cham Springer 1 Online-Ressource (VIII, 226 p. 179 illus., 153 illus. in color) txt rdacontent c rdamedia cr rdacarrier Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development 2522-8722 Machine Learning Artificial Intelligence Intelligence Infrastructure Health Policy Transportation Technology and Traffic Engineering Logistics Machine learning Artificial intelligence Medical policy Transportation engineering Traffic engineering Business logistics (DE-588)4143413-4 Aufsatzsammlung gnd-content Hemanth, D. Jude edt Erscheint auch als Druck-Ausgabe 978-3-031-08858-2 Erscheint auch als Druck-Ausgabe 978-3-031-08860-5 Erscheint auch als Druck-Ausgabe 978-3-031-08861-2 https://doi.org/10.1007/978-3-031-08859-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Machine Learning Techniques for Smart City Applications: Trends and Solutions Machine Learning Artificial Intelligence Intelligence Infrastructure Health Policy Transportation Technology and Traffic Engineering Logistics Machine learning Artificial intelligence Medical policy Transportation engineering Traffic engineering Business logistics |
| subject_GND | (DE-588)4143413-4 |
| title | Machine Learning Techniques for Smart City Applications: Trends and Solutions |
| title_auth | Machine Learning Techniques for Smart City Applications: Trends and Solutions |
| title_exact_search | Machine Learning Techniques for Smart City Applications: Trends and Solutions |
| title_exact_search_txtP | Machine Learning Techniques for Smart City Applications: Trends and Solutions |
| title_full | Machine Learning Techniques for Smart City Applications: Trends and Solutions edited by D. Jude Hemanth |
| title_fullStr | Machine Learning Techniques for Smart City Applications: Trends and Solutions edited by D. Jude Hemanth |
| title_full_unstemmed | Machine Learning Techniques for Smart City Applications: Trends and Solutions edited by D. Jude Hemanth |
| title_short | Machine Learning Techniques for Smart City Applications: Trends and Solutions |
| title_sort | machine learning techniques for smart city applications trends and solutions |
| topic | Machine Learning Artificial Intelligence Intelligence Infrastructure Health Policy Transportation Technology and Traffic Engineering Logistics Machine learning Artificial intelligence Medical policy Transportation engineering Traffic engineering Business logistics |
| topic_facet | Machine Learning Artificial Intelligence Intelligence Infrastructure Health Policy Transportation Technology and Traffic Engineering Logistics Machine learning Artificial intelligence Medical policy Transportation engineering Traffic engineering Business logistics Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-031-08859-9 |
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