Namal Rathnayake
Japan Agency for Marine-Earth Science and Technology(JP)Bunkyo University(JP)The University of Tokyo(JP)
Publications by Year
Research Areas
Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Smart Agriculture and AI, Energy Load and Power Forecasting
Most-Cited Works
- → Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature(2024)143 cited
- → Machine Learning Techniques to Predict the Air Quality Using Meteorological Data in Two Urban Areas in Sri Lanka(2023)71 cited
- → Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship(2023)41 cited
- → A Novel Optimization Algorithm: Cascaded Adaptive Neuro-Fuzzy Inference System(2021)39 cited
- → An Efficient Automatic Fruit-360 Image Identification and Recognition Using a Novel Modified Cascaded-ANFIS Algorithm(2022)38 cited
- → In-depth simulation of rainfall–runoff relationships using machine learning methods(2024)32 cited