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Synopsis
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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Fine-Tuning Method for Deep Learning
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Fine-Tuning Method for Deep Learning
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Fine-Tuning Method for Deep Learning
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Fine-Tuning Method for Deep Learning
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Fine-Tuning Method for Deep Learning
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Condition: 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. Seller Inventory # 1597976973
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Fine-Tuning Method for Deep Learning
Published by
LAP LAMBERT Academic Publishing Apr 2024, 2024
ISBN 10: 6207477464
ISBN 13: 9786207477463
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Seller Inventory # 9786207477463
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Fine-Tuning Method for Deep Learning : Authentication in Flood Detection
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Taschenbuch. Condition: 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. Seller Inventory # 9786207477463
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Fine-Tuning Method for Deep Learning | Authentication in Flood Detection
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Taschenbuch. Condition: 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: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 129019212
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