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Image processing for flood detection and prediction

Grant number: 20/05426-0
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): August 01, 2020
Effective date (End): May 31, 2021
Field of knowledge:Engineering - Sanitary Engineering - Environmental Sanitation
Principal researcher:Jó Ueyama
Grantee:Francisco Erivaldo Fernandes Junior
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated research grant:13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID

Abstract

The project aims to detect and predict flooding using images and thus automate the process of flood identification without human intervention. Such an approach only uses cameras without the need for the river height sensor that remains submerged in the urban streams. River height sensors are usually susceptible to failure as they are continually in contact with river water. In addition, Civil Defense bodies often require flooded river images and therefore we believe that the use of image processing for flood detection is timely as one single sensor (i.e. a camera) is needed to detect floods and provide images to Civil Defense bodies. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
FERNANDES JR, FRANCISCO ERIVALDO; YEN, GARY G. Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy. INFORMATION SCIENCES, v. 558, p. 91-102, MAY 2021. Web of Science Citations: 1.
FERNANDES, JR., FRANCISCO E.; YEN, GARY G. Pruning Deep Convolutional Neural Networks Architectures with Evolution Strategy. INFORMATION SCIENCES, v. 552, p. 29-47, APR 2021. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.