| Machine Learning Techniques to Predict the Air Quality Using Meteorological Data in Two Urban Areas in Sri Lanka L Mampitiya, N Rathnayake, LP Leon, V Mandala, HM Azamathulla, ... Environments 10 (8), 141, 2023 | 21 | 2023 |
| Efficient and low-cost skin cancer detection system implementation with a comparative study between traditional and CNN-based models LI Mampitiya, N Rathnayake, S De Silva Journal of Computational and Cognitive Engineering 2 (3), 226-235, 2023 | 19 | 2023 |
| Classification of human emotions using ensemble classifier by analysing EEG signals LI Mampitiya, R Nalmi, N Rathnayake 2021 IEEE Third International Conference on Cognitive Machine Intelligence …, 2021 | 5 | 2021 |
| Forecasting PM10 Levels in Sri Lanka: A Comparative Analysis of Machine Learning Models PM10 L Mampitiya, N Rathnayake, Y Hoshino, U Rathnayake Journal of Hazardous Materials Advances, 100395, 2023 | 4 | 2023 |
| Performance of machine learning models to forecast PM10 levels L Mampitiya, N Rathnayake, Y Hoshino, U Rathnayake MethodsX, 102557, 2024 | 3 | 2024 |
| An efficient ocular disease recognition system implementation using GLCM and LBP based multilayer perception algorithm LI Mampitiya, N Rathnayake 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 978-983, 2022 | 3 | 2022 |
| Performance Comparison of Sea Fish Species Classification using Hybrid and Supervised Machine Learning Algorithms LI Mampitiya, R Nalmi, N Rathnayake 2022 Moratuwa Engineering Research Conference (MERCon), 1-6, 2022 | 2 | 2022 |
| Artificial intelligence to predict soil temperatures by development of novel model L Mampitiya, K Rozumbetov, N Rathnayake, V Erkudov, A Esimbetov, ... Scientific Reports 14 (1), 9889, 2024 | | 2024 |
Namal RathnayakeUniversity of Tokyo確認したメール アドレス: hydra.t.u-tokyo.ac.jp
