Predictive Modeling of Flood Susceptibility in Tetouan, Morocco Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Predictive Modeling of Flood Susceptibility in Tetouan, Morocco Using Machine Learning Algorithms

Published:2024-05-16 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
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Author:

Wassima Moutaouakil¹,Hamida Soufiane²,Akouz Nouhaila¹,Saleh Shawki¹,Cherradi Bouchaib³,Raihani Abdelhadi¹

Affiliation:

1. Hassan II University of Casablanca,EEIS Laboratory ENSET of Mohammedia,Mohammedia,Morocco

2. Hassan II University of Casablanca, Mohammedia, Morocco. GENIUS Laboratory, SupMTI of Rabat,2IACS Laboratory, ENSET of Mohammedia,Rabat,Morocco

3. Hassan II University of Casablanca,STIE Team, CRMEF Casablanca-Settat EEIS Laboratory, ENSET of Mohammedia,Mohammedia,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548014/10548010/10548176.pdf?arnumber=10548176

Reference45 articles.

1. Global projections of river flood risk in a warmer world

2. A novel hybrid artificial intelligence approach for flood susceptibility assessment

3. A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

4. Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique

5. Predicting the Stages of Diabetic Retinopathy using Deep Learning

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