A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-024-33389-5.pdf
Reference70 articles.
1. Afifi A (2013) Improving the classification accuracy using support vector machines (SVMS) with new kernel. J Global Res Comput Sci 4(2):1–7
2. Agrawal P, Abutarboush HF, Ganesh T, Mohamed AW (2021) Metaheuristic algorithms on feature selection: A survey of one decade of research (2009-2019). Ieee Access 9:26766–26791
3. Ali M, Khan SJ, Aslam I, Khan Z (2011) Simulation of the impacts of land-use change on surface runoff of Lai Nullah Basin in Islamabad, Pakistan. Landsc Urban Plan 102(4):271–279
4. Ali SA, Khatun R, Ahmad A, Ahmad SN (2019) Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban Region, India. Model Earth Syst Environ 5:1083–1102
5. Araújo LA, e Lopes IL, Oliveira RM, Silva SHG, e Silva CSJ, Gomide LR (2022) Simulated annealing in feature selection approach for modeling aboveground carbon stock at the transition between Brazilian Savanna and Atlantic Forest biomes. Annal Forest Res 65(1):47–63
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