56 citations as recorded by crossref.

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23. Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam) D. Tien Bui et al. 10.1016/j.jenvman.2019.01.108
24. Spatial Prediction of Current and Future Flood Susceptibility: Examining the Implications of Changing Climates on Flood Susceptibility Using Machine Learning Models N. Mahdizadeh Gharakhanlou & L. Perez 10.3390/e24111630
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27. Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network N. Ahmed et al. 10.1080/10106049.2021.2005698
28. Application of convolutional neural networks based on Bayesian optimization to landslide susceptibility mapping of transmission tower foundation M. Lin et al. 10.1007/s10064-023-03069-8
29. A novel voting ensemble model empowered by metaheuristic feature selection for accurate flash flood susceptibility mapping R. A. Saleh et al. 10.1080/19475705.2024.2360000
30. A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area L. Melgar-García et al. 10.1080/17538947.2023.2252401
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37. Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas T. Bien et al. 10.1007/s00477-023-02521-1
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43. A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran A. Arabameri et al. 10.1016/j.scitotenv.2019.01.021
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46. A novel method for asphalt pavement crack classification based on image processing and machine learning N. Hoang & Q. Nguyen 10.1007/s00366-018-0611-9
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53. Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania R. Costache & D. Tien Bui 10.1016/j.scitotenv.2019.07.197
54. Multi-geospatial flood hazard modelling for a large and complex river basin with data sparsity: a case study of the Lam River Basin, Vietnam N. Dung et al. 10.1007/s41748-021-00215-8
55. Integrating remote sensing with swarm intelligence and artificial intelligence for modelling wetland habitat vulnerability in pursuance of damming R. Khatun et al. 10.1016/j.ecoinf.2021.101349
56. Building information modeling integrated with environmental flood hazard to assess the building vulnerability to flash floods M. Wahba et al. 10.1007/s00477-023-02640-9