| A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP) IU Ekanayake, DPP Meddage, U Rathnayake Case Studies in Construction Materials 16 (e01059), 1-20, 2022 | 273 | 2022 |
| Artificial neural network to estimate the paddy yield prediction using climatic data V Amaratunga, L Wickramasinghe, A Perera, J Jayasinghe, ... Mathematical Problems in Engineering 2020 (July), 1-11, 2020 | 87 | 2020 |
| Dynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impacts U Rathnayake, AHM Faisal Anwar Journal of Hydrology, 2019 | 60 | 2019 |
| Forecasting Wind Power Generation using Artificial Neural Network: “Pawan Danawi” - A Case Study from Sri Lanka AT Pereis, JMJW Jayasinghe, U Rathnayake Journal of Electrical and Computer Engineering 2021 (Mar), 2021 | 58 | 2021 |
| Evolutionary multi-objective optimal control of combined sewer overflows US Rathnayake, TT Tanyimboh Water Resources Management 29, 2715-2731, 2015 | 54 | 2015 |
| Hydrological models and Artificial Neural Networks (ANNs) to simulate streamflow in a tropical catchment of Sri Lanka MB Gunathilake, C Karunanayake, AS Gunathilake, T Samarasinghe, ... Applied Computational Intelligence and Soft Computing 2021 (May), 1-9, 2021 | 52 | 2021 |
| A novel machine learning approach for diagnosing diabetes with a self-explainable interface G Dharmarathne, TN Jayasinghe, M Bogahawaththa, DPP Meddage, ... Healthcare Analytics 5 (100301), 1-13, 2024 | 51 | 2024 |
| Impact of climate variability on hydropower generation: A case study from Sri Lanka B Khaniya, HG Priyantha, N Baduge, HM Azamathulla, U Rathnayake ISH Journal of Hydraulic Engineering, 2018 | 51 | 2018 |
| Adapting Cities to the Surge: A Comprehensive Review of Climate-Induced Urban Flooding G Dharmarathne, AO Waduge, M Bogahawaththa, U Rathnayake, ... Results in Engineering 22 (102123), 1-15, 2024 | 50 | 2024 |
| Projection of future hydropower generation in Samanalawewa power plant, Sri Lanka B Khaniya, C Karunanayake, MB Gunathilake, U Rathnayake Mathematical Problems in Engineering 2020 (Oct), 1-11, 2020 | 48 | 2020 |
| A novel explainable AI-based approach to estimate the natural period of vibration of masonry infill reinforced concrete frame structures using different machine learning techniques P Thisovithan, H Aththanayake, DPP Meddage, IU Ekanayake, ... Results in Engineering 19 (101388), 1-21, 2023 | 47 | 2023 |
| Sustainable Sewage Sludge Biosorbent Activated Carbon for Remediation of Heavy Metals: Optimization by Response Surface Methodology NMY Al-mahbashi, SRM Kutty, AH Jagaba, A Al-nini, AT Sholagberu, ... Case Studies in Chemical and Environmental Engineering 8 (100437), 1-11, 2023 | 46 | 2023 |
| Regression‐Based Prediction of Power Generation at Samanalawewa Hydropower Plant in Sri Lanka Using Machine Learning P Ekanayake, L Wickramasinghe, JMJW Jayasinghe, U Rathnayake Mathematical Problems in Engineering 2021 (1), 4913824, 2021 | 46 | 2021 |
| Comparison of different Artificial Neural Network (ANN) training algorithms to predict atmospheric temperature in Tabuk, Saudi Arabia A Perera, HM Azamathulla, U Rathnayake MAUSAM : Quarterly Journal of Meteorology, Hydrology & Geophysics 71 (1), 2020 | 46 | 2020 |
| Rainfall trend analysis in Uma Oya basin, Sri Lanka and future water scarcity problems in perspective of climate variability B Khaniya, I Jayanayaka, P Jayasanka, U Rathnayake Advances in Meteorology 2019, 2019 | 46 | 2019 |
| A comprehensive review on smart and sustainable agriculture using IoT technologies V Kumar, KV Sharma, N Kedam, A Patel, TR Kate, U Rathnayake Smart Agricultural Technology 8, 1-22, 2024 | 43 | 2024 |
| Interpretation of Machine-Learning-Based (Black-box) Wind Pressure Predictions for Low-Rise Gable-Roofed Buildings Using Shapley Additive Explanations (SHAP) P Meddage, I Ekanayake, US Perera, HM Azamathulla, MAM Said, ... Buildings 12 (6-734), 1-29, 2022 | 41 | 2022 |
| A Simplified mathematical formulation for Water Quality Index (WQI): a case study in the Kelani River basin, Sri Lanka RK Makubura, DPP Meddage, H Azamathulla, M Pandey, U Rathnayake Fluids 7 (147), 1-12, 2022 | 41 | 2022 |
| Statistical evaluation and hydrologic simulation capacity of different satellite-based precipitation products (SbPPs) in the Upper Nan River Basin, Northern Thailand MB Gunathilake, V Amaratunga, A Perera, C Karunanayake, ... Journal of Hydrology: Regional Studies 32 (Dec), 1-16, 2020 | 41 | 2020 |
| Evaluation of future climate and potential impact on streamflow in the Upper Nan River basin of Northern Thailand MB Gunathilake, V Amaratunga, A Perera, U Rathnayake Advances in Meteorology 2020 (Oct), 2020 | 41 | 2020 |
D. P. P. MeddageUniversity of New South Wales, AustraliaEmail được xác minh tại unsw.edu.au