Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2535
Title: Deep Learning Model For Flood Estimate and Relief Management System Using Hybrid Algorithm
Authors: Senbagavalli, M
Sathiyamoorthi, V
Manju Bargavi, S K
Shekarappa, G Swetha
Jesudas, T
Keywords: Artificial intelligence
Deep learning
Flood detection system
Machine learning
Natural flood management
Issue Date: 2023
Publisher: Elsevier
Citation: Chapter 3; pp. 29-44
Abstract: Flooding is a major geographical calamity that occurs frequently in some countries and infrequently in others. It is critical to remain vigilant and make early precautions to prevent unnecessary threats that endanger both person and property. In this chapter, we have focused on deep learning model in which the affected drainage can be found and alert people who take necessary precautions based on it. In this chapter, we present in-depth details of the applications of the prior techniques in flood estimate and relief management system. © 2023 Elsevier Inc. All rights reserved.
URI: https://doi.org/10.1016/B978-0-323-99503-0.00021-1
http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2535
ISBN: 9.78032E+12
Appears in Collections:Book/ Book Chapters

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