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Chamanthi Denisha Jayaweera
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Year
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
132018
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
132018
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
122019
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
62017
Multi-objective dynamic optimization of seeded suspension polymerization process
CD Jayaweera, M Narayana
Chemical Engineering Journal 426, 130797, 2021
12021
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, 835-848, 2018
12018
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
2022
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
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
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
2020
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Articles 1–10