A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models

Sarwar, Javeria; Khan, Saud Ahmed; Azmat, Muhammad; Khan, Faridoon

doi:10.1007/s11356-024-33389-5

Environ Sci Pollut Res

2024

DOI: 10.1007/s11356-024-33389-5

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A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models

Javeria Sarwar,

Saud Ahmed Khan,

Muhammad Azmat

et al.

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Cited by 3 publications

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A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models

Cited by 3 publications

References 59 publications

Evaluating the Accuracy of Machine Learning, Deep Learning and Hybrid Algorithms for Flood Routing Calculations

Evaluating the Accuracy of Machine Learning, Deep Learning and Hybrid Algorithms for Flood Routing Calculations

An Application of Hybrid Bagging-Boosting Decision Trees Ensemble Model for Riverine Flood Susceptibility Mapping and Regional Risk Delineation

Data mining techniques for LULC analysis using sparse labels and multisource data integration for the hilly terrain of Nilgiris district, Tamil Nadu, India

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