Predictive model for the dengue incidences in Sri Lanka using mobile network big data KGS Dharmawardana, JN Lokuge, PSB Dassanayake, ML Sirisena, ... 2017 IEEE international conference on industrial and information systems …, 2017 | 21 | 2017 |
Predicting population-level socio-economic characteristics using Call Detail Records (CDRs) in Sri Lanka L Fernando, A Surendra, S Lokanathan, T Gomez Proceedings of the Fourth International Workshop on Data Science for Macro …, 2018 | 19 | 2018 |
Brown planthopper damage detection using remote sensing and machine learning D Lakmal, K Kugathasan, V Nanayakkara, S Jayasena, AS Perera, ... 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 14 | 2019 |
Spatio temporal forecasting of dengue outbreaks using machine learning ML Fernando | 2 | 2019 |
Framework to Study Migration Decisions Using Call Detail Record (CDR) Data V Dias, L Fernando, Y Lin, V Frias-Martinez, L Raschid IEEE Transactions on Computational Social Systems, 2022 | 1 | 2022 |
Improving Disease Outbreak Forecasting Models for efficient targeting of Public Health Resources L Fernando, S Lokanathan, AS Perera, A Ghouse, H Tissera CPRsouth, 2017 | 1 | 2017 |
An Experimental Analysis of Quantile Sketches over Data Streams. L Fernando, H Bindra, K Daudjee EDBT, 424-436, 2023 | | 2023 |
Impact of Human Mobility on Spread of Dengue in Sri Lanka L Fernando, AS Perera, S Lokanathan, A Ghouse, H Tissera, ... International Conference on the Analysis of Mobile Phone Datasets (NetMob), 2017 | | 2017 |