Artificial neural network for flood susceptibility mapping in Bangladesh-Reference-Cited by-同舟云学术

Artificial neural network for flood susceptibility mapping in Bangladesh

Published:2023-06 Issue:6 Volume:9 Page:e16459
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Rudra Rhyme Rubayet^ORCID,Sarkar Showmitra Kumar^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference62 articles.

1. Flood risk mapping and crop-water loss modeling using water footprint analysis in agricultural watershed, northern Iran;Mohammadi;Nat. Hazards,2021

2. Geo-spatial analysis for flash flood susceptibility mapping in the north-east haor (wetland) region in Bangladesh;Haque;Earth Syst. Environ.,2021

3. Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: application of the simulated annealing feature selection method;Hosseini;Sci. Total Environ.,2020

4. Investigation of Hydraulic Regime at Middle Part of the Loire River in Context of Floods and Low Flow Events MIDDLE PART of the LOIRE RIVER IN;Kuriqi,2018

5. A GIS-based artificial neural network model for flood susceptibility assessment;Khoirunisa;Int. J. Environ. Res. Publ. Health,2021

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forecasting of flash flood susceptibility mapping using random forest regression model and geographic information systems;Heliyon;2024-07

2. Assessment of flood susceptibility in Sylhet using analytical hierarchy process and geospatial technique;Geomatica;2024-07

3. Flood susceptibility modelling of the Teesta River Basin through the AHP-MCDA process using GIS and remote sensing;Natural Hazards;2024-06-08

4. Future groundwater potential mapping using machine learning algorithms and climate change scenarios in Bangladesh;Scientific Reports;2024-05-06

5. Deep Learning Methods of Satellite Image Processing for Monitoring of Flood Dynamics in the Ganges Delta, Bangladesh;Water;2024-04-17