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Moad Morarech on Muck Rack

Moad Morarech

As seen in: MDPI
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Articles

Unveiling Urban Flood Vulnerability: A Machine Learning Approach for Mapping High Risk Zones in Tetouan City, Northern Morocco

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By Moad Morarech, Tarik Bouramtane, Laurent Barbiero, Oussama Mekkaoui
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Soil Systems | Free Full-Text | Surface Formations Salinity Survey in an Estuarine Area of Northern Morocco, by Crossing Satellite Imagery, Discriminant Analysis, and Machine Learning

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By Abdessamad Touiouine, Youssouf El Jarjini, Moad Morarech, Vincent Valles
| MDPI
Open AccessArticle by Youssouf El Jarjini 1, Moad Morarech 1, Vincent Valles 2,3, Abdessamad Touiouine 4, Meryem Touzani 5, Youssef Arjdal 6, Abdoul Azize Barry 7 and Laurent Barbiero 8,* 1 Laboratory in Applied and Marine Geosciences, Geotechnics and Georisk (LR3G) Faculty of Science Te-touan, Abdelmalek Essaâdi University, Tetouan 93002, Morocco 2 Laboratoire Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes, Université Avignon, Avignon 84000, France 3 Faculty of Sciences...
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