Modelling flood susceptibility based on deep learning coupling with ensemble learning models
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering
Reference69 articles.
1. Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows;Afzal;Aero. Sci. Technol.,2020
2. Power plant energy predictions based on thermal factors using ridge and support vector regressor algorithms;Afzal;Energies,2021
3. Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means;Afzal;Results Phys.,2021
4. Modelling and computational experiment to obtain optimized neural network for battery thermal management data;Afzal;Energies,2021
5. Investigation and back-propagation modeling of base pressure at sonic and supersonic Mach numbers;Afzal;Phys. Fluids,2020
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