A data-driven approach to forecast floods in Sylhet city using machine learning and deep learning techniques-Reference-Cited by-同舟云学术

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A data-driven approach to forecast floods in Sylhet city using machine learning and deep learning techniques

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:6TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING FOR SUSTAINABLE DEVELOPMENT (ICCESD 2022)
language:
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Author:

Mahmud Foysol,Limon Musaddik,Khayer Abul,Osmani Shabbir Ahmed

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0129726

Reference33 articles.

1. Real-Time Early Warning System Design for Pluvial Flash Floods—A Review

2. Agarwal, S., Roy, P. J., Choudhury, P., & Debbarma, N. (2021). Flood forecasting and flood flow modeling in a river system using ANN. Water Practice and Technology.

3. Breiman, L. (2001). Random Forrest. Machine Learning. https://doi.org/10.1023/A:1010933404324

4. Interpretable spatio-temporal attention LSTM model for flood forecasting

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2. Forecasting river daily discharge using decision tree and time series methods;Proceedings of the Institution of Civil Engineers - Water Management;2023-10-13

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