PERFORMANCE OF MACHINE LEARNING ALGORITHMS FOR MAPPING AND FORECASTING OF FLASH FLOOD SUSCEPTIBILITY IN TETOUAN, MOROCCO

11 citations as recorded by crossref.

1. Advanced machine learning algorithms for flood susceptibility modeling — performance comparison: Red Sea, Egypt A. Youssef et al. 10.1007/s11356-022-20213-1
2. Google Earth Engine and Machine Learning for Flash Flood Exposure Mapping—Case Study: Tetouan, Morocco E. SELLAMI & H. Rhinane 10.3390/geosciences14060152
3. Flash flood susceptibility mapping of north-east depression of Bangladesh using different GIS based bivariate statistical models M. Chowdhury 10.1016/j.wsee.2023.12.002
4. Modeling rules of regional flash flood susceptibility prediction using different machine learning models Y. Chen et al. 10.3389/feart.2023.1117004
5. Enhancing preservation outcomes for architectural heritage buildings through machine learning-driven future search optimization S. Abusaleh 10.1007/s42107-024-01112-x
6. Flooding in semi-unformal urban areas in North Africa: Environmental and psychosocial drivers A. Salhi et al. 10.1016/j.scitotenv.2024.172486
7. Flood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer M. Mia et al. 10.3390/land12040810
8. A modern method for building damage evaluation using deep learning approach - Case study: Flash flooding in Derna, Libya E. Sellami et al. 10.1051/e3sconf/202450203010
9. Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review A. Akinsoji et al. 10.1007/s11269-024-03885-x
10. A Critical Review of Emerging Technologies for Flash Flood Prediction: Examining Artificial Intelligence, Machine Learning, Internet of Things, Cloud Computing, and Robotics Techniques G. Al-Rawas et al. 10.3390/w16142069
11. SAR-driven flood inventory and multi-factor ensemble susceptibility modelling using machine learning frameworks K. Halder et al. 10.1080/19475705.2024.2409202