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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Richa Tripathi concluiu o seu mestrado em Engenharia Informática. As suas áreas de interesse são a análise, SQL e Python.Diwakar Padalia obteve o seu doutoramento em 2011. Atualmente, realiza investigação e lecciona na Universidade K.R. Mangalam, na Índia. O seu trabalho centra-se no domínio dos nanomateriais dieléctricos e do nanomagnetismo.
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Taschenbuch. Zustand: 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. Artikel-Nr. 129019212
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