Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques

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Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques

Around 70% of global disasters are related to hydro-meteorological events such as drought, floods, and cyclones. Therefore, researchers and experts carried out many studies on flood hazards in order to reduce the impact of flood magnitude and flood frequency. In Malaysia, a telemetric forecasting...

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Bibliographic Details
Main Author:	Muhadi, Nur 'Atirah
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Sensor networks Computer vision Electronic surveillance - Data processing
Online Access:	http://psasir.upm.edu.my/id/eprint/103961/ http://psasir.upm.edu.my/id/eprint/103961/1/NUR%20%E2%80%98ATIRAH%20BINTI%20MUHADI%20-IR.pdf

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