Deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Augsburg
2024
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| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Beschreibung: | ix, 181 Seiten Illustrationen, Diagramme |
Internformat
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Datensatz im Suchindex
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| spelling | Polz, Julius ca. 20./21. Jh. Verfasser (DE-588)1357417268 aut Deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information vorgelegt von Julius Polz Augsburg 2024 ix, 181 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Universität Augsburg 2024 Kumulativ Deep Learning (DE-588)1135597375 gnd rswk-swf Wetterradar (DE-588)4270420-0 gnd rswk-swf Richtfunk (DE-588)4049930-3 gnd rswk-swf Niederschlagsmessung (DE-588)4042236-7 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Niederschlagsmessung (DE-588)4042236-7 s Wetterradar (DE-588)4270420-0 s Richtfunk (DE-588)4049930-3 s Deep Learning (DE-588)1135597375 s DE-604 Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:384-opus4-1179099 https://opus.bibliothek.uni-augsburg.de/opus4/117909 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-1179099 Resolving-System kostenfrei Volltext |
| spellingShingle | Polz, Julius ca. 20./21. Jh Deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information Deep Learning (DE-588)1135597375 gnd Wetterradar (DE-588)4270420-0 gnd Richtfunk (DE-588)4049930-3 gnd Niederschlagsmessung (DE-588)4042236-7 gnd |
| subject_GND | (DE-588)1135597375 (DE-588)4270420-0 (DE-588)4049930-3 (DE-588)4042236-7 (DE-588)4113937-9 |
| title | Deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information |
| title_auth | Deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information |
| title_exact_search | Deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information |
| title_full | Deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information vorgelegt von Julius Polz |
| title_fullStr | Deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information vorgelegt von Julius Polz |
| title_full_unstemmed | Deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information vorgelegt von Julius Polz |
| title_short | Deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information |
| title_sort | deep learning approaches for the improvement of commercial microwave link and weather radar derived precipitation information |
| topic | Deep Learning (DE-588)1135597375 gnd Wetterradar (DE-588)4270420-0 gnd Richtfunk (DE-588)4049930-3 gnd Niederschlagsmessung (DE-588)4042236-7 gnd |
| topic_facet | Deep Learning Wetterradar Richtfunk Niederschlagsmessung Hochschulschrift |
| url | https://opus.bibliothek.uni-augsburg.de/opus4/117909 https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-1179099 |
| work_keys_str_mv | AT polzjulius deeplearningapproachesfortheimprovementofcommercialmicrowavelinkandweatherradarderivedprecipitationinformation |