| Improved predictive capability of coagulation process by extreme learning machine with radial basis function CD Jayaweera, MR Othman, N Aziz Journal of Water Process Engineering 32, 100977, 2019 | 30 | 2019 |
| Reliability of principal component analysis and Pearson correlation coefficient, for application in artificial neural network model development, for water treatment plants CD Jayaweera, N Aziz IOP Conference Series: Materials Science and Engineering 458 (1), 012076, 2018 | 27 | 2018 |
| Development and comparison of extreme learning machine and multi-layer perceptron neural network models for predicting optimum coagulant dosage for water treatment CD Jayaweera, N Aziz Journal of physics: conference series 1123 (1), 012032, 2018 | 27 | 2018 |
| Multi-objective dynamic optimization of seeded suspension polymerization process CD Jayaweera, M Narayana Chemical Engineering Journal 426, 130797, 2021 | 12 | 2021 |
| An efficient neural network model for aiding the coagulation process of water treatment plants CD Jayaweera, N Aziz Environment, Development and Sustainability 24 (1), 1069-1085, 2022 | 11 | 2022 |
| Investigation of the effectiveness of nanocellulose extracted from Sri Lankan Kapok, as a filler in Polypropylene polymer matrix CD Jayaweera, D Karunaratne, STS Bandara, S Walpalage 2017 Moratuwa Engineering Research Conference (MERCon), 1-6, 2017 | 8 | 2017 |
| Development of a hybrid model for reliably predicting the thermal performance of direct contact countercurrent cooling towers C Jayaweera, N Groot, S Meul, A Verliefde, I Nopens, I Hitsov International Journal of Heat and Mass Transfer 197, 123336, 2022 | 5 | 2022 |
| Development of extreme learning machine radial basis function neural network models to predict residual aluminum for water treatment plants CD Jayaweera, N Aziz Proceedings of the Future Technologies Conference (FTC) 2018: Volume 1, 835-848, 2019 | 4 | 2019 |
| Modeling seeded suspension polymerization of core-shell polymer particles using computational fluid dynamics CD Jayaweera, C Wickramasinghe, M Narayana Chemical Engineering Science 231, 116277, 2021 | 2 | 2021 |
| Prediction of treated water turbidity and its parametric behavior for the coagulation process of a water treatment plant using a joint extreme learning machine-genetic algorithm CD Jayaweera, N Aziz IOP Conference Series: Materials Science and Engineering 991 (1), 012142, 2020 | 1 | 2020 |
| A comprehensive study on developing neural network models for predicting the coagulant dosage and treated water qualities for a water treatment plant CD Jayaweera Universiti Sains Malaysia, 2020 | 1 | 2020 |
