文章名稱(chēng)引用次數(shù)

• An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction130
• Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas78
• A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods71
• Hydropower dams of the Mekong River basin: A review of their hydrological impacts53
• A new simplified method for measuring the permeability characteristics of highly porous media52
• Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques51
• Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles47
• Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization45
• Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches42
• An assessment of differences in gridded precipitation datasets in complex terrain41