A novel voting ensemble model empowered by metaheuristic feature selection for accurate flash flood susceptibility mapping-Reference-Cited by-同舟云学术

A novel voting ensemble model empowered by metaheuristic feature selection for accurate flash flood susceptibility mapping

Published:2024-06-12 Issue:1 Volume:15 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

A. Saleh Radhwan¹,Al-Areeq Ahmed M.²³,Al Aghbari Amran A.⁴,Ghaleb Mustafa⁵,Benaafi Mohammed²,Al‑Areeq Nabil M.⁶,M. Al-Ramadan Baqer⁷⁸

Affiliation:

1. Mechatronics Engineering Department, Kocaeli University, Kocaeli, Türkiye

2. Interdisciplinary Research Center for Membranes and Water Security (IRC-MWS), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia

3. Civil and Environmental Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

4. College of Engineering and Physics, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia

5. Interdisciplinary Research Center for Intelligent Secure Systems (IRC-ISS), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia

6. Department of Geology and Environment, Thamar University, Thamar, Yemen

7. Architecture and City Design (ACD) Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

8. Interdisciplinary Research Center for Smart Mobility and Logistics (IRC-SML), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2024.2360000

Reference57 articles.

1. Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees

2. Abu-Salih B Wongthongtham P Coutinho K Qaddoura R Alshaweesh O Wedyan M. 2023. The development of a road network flood risk detection model using optimised ensemble learning. Engineering Applications of Artificial Intelligence 122 106081.

3. Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)

4. Multilevel thresholding segmentation of color plant disease images using metaheuristic optimization algorithms

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