A Real-Time Flood Detection System Based on Machine Learning Algorithms with Emphasis on Deep Learning-Reference-Cited by-同舟云学术

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A Real-Time Flood Detection System Based on Machine Learning Algorithms with Emphasis on Deep Learning

Published:2021-05-25 Issue:5 Volume:69 Page:249-256
ISSN:2231-5381
Container-title:International Journal of Engineering Trends and Technology
language:
Short-container-title:IJETT

Author:

Hashi Abdirahman Osman,Abdirahman Abdullahi Ahmed,Elmi Mohamed Abdirahman,Hashi Siti Zaiton Mohd,Rodriguez Octavio Ernesto Romo

Publisher

Seventh Sense Research Group Journals

Subject

General Engineering

Cited by 17 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. River flood prediction through flow level modeling using multi-attention encoder-decoder-based TCN with filter-wrapper feature selection;Earth Science Informatics;2024-08-22

2. Flood prediction through hydrological modeling of rainfall using Conv1D-SBiGRU algorithm and RDI estimation: A hybrid approach;Stochastic Environmental Research and Risk Assessment;2024-07-20

3. Blessemflood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Flood Detection and Segmentation Using Deep Learning Models;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

5. IoT Based Early Flood Alerting System;International Journal of Innovative Science and Research Technology (IJISRT);2024-05-17

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