This book aims to flood detection to recognize flooding-related photographs from web-based media. These photographs, related with their geological areas, can give free, ideal, and dependable visual data about flood occasions to the judgment producer. This screening framework, intended for utilization to web-based media pictures, incorporates a few key modules: tweet/picture computerize, flooding photograph discovery, and Web GIS utilization for human check. In this investigation, a preparation dataset of 4800 flooding photographs was built dependent on an fine-tuning mechanism utilizing deep leaning (DL) created and prepared to recognize flooding photographs. The framework was planned such that the DL can be re-prepared by a bigger preparing dataset when extra expert confirmed flooding photographs are being added to the preparation set in an insistent way.
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26400820791
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Da: Majestic Books, Hounslow, Regno Unito
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Englisch. Codice articolo 9786207477463
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book aims to flood detection to recognize flooding-related photographs from web-based media. These photographs, related with their geological areas, can give free, ideal, and dependable visual data about flood occasions to the judgment producer. This s. Codice articolo 1597976973
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. Neuware -This book aims to flood detection to recognize flooding-related photographs from web-based media. These photographs, related with their geological areas, can give free, ideal, and dependable visual data about flood occasions to the judgment producer. This screening framework, intended for utilization to web-based media pictures, incorporates a few key modules: tweet/picture computerize, flooding photograph discovery, and Web GIS utilization for human check. In this investigation, a preparation dataset of 4800 flooding photographs was built dependent on an fine-tuning mechanism utilizing deep leaning (DL) created and prepared to recognize flooding photographs. The framework was planned such that the DL can be re-prepared by a bigger preparing dataset when extra expert confirmed flooding photographs are being added to the preparation set in an insistent way.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Codice articolo 9786207477463
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book aims to flood detection to recognize flooding-related photographs from web-based media. These photographs, related with their geological areas, can give free, ideal, and dependable visual data about flood occasions to the judgment producer. This screening framework, intended for utilization to web-based media pictures, incorporates a few key modules: tweet/picture computerize, flooding photograph discovery, and Web GIS utilization for human check. In this investigation, a preparation dataset of 4800 flooding photographs was built dependent on an fine-tuning mechanism utilizing deep leaning (DL) created and prepared to recognize flooding photographs. The framework was planned such that the DL can be re-prepared by a bigger preparing dataset when extra expert confirmed flooding photographs are being added to the preparation set in an insistent way. Codice articolo 9786207477463
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Fine-Tuning Method for Deep Learning | Authentication in Flood Detection | Richa Tripathi (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207477463 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 129019212
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