Leptospirosis modelling using hydrometeorological indices and random forest machine learning V Jayaramu, Z Zulkafli, S De Stercke, W Buytaert, F Rahmat, ... International journal of biometeorology 67 (3), 423-437, 2023 | 3 | 2023 |
Spatio-Temporal Prediction of Leptospirosis in Kuantan Using Hydrometeorological Variables and Random Forest Machine Learning V Jayaramu, Z Zulkafli, F Rahmat International Exchange and Innovation Conference on Engineering & Sciences …, 2024 | | 2024 |
Evaluating Calibration Potential in River Hydraulic Modelling Based on Critical Slope: A Case Study of Sungai Pahang Basin MAM Anuar, MSM Adnan, LF Hoat, V Jayaramu, LW Koon, MH Hassan International Exchange and Innovation Conference on Engineering & Sciences …, 2024 | | 2024 |
Understanding and managing the risk of water-related diseases under hydrometeorological extremes ZD Zulkafli, MF Rahmat, V Jayaramu, AJ Ishak, RZ Abdul Rahman, ... AGU Fall Meeting Abstracts 2022, GH15D-0469, 2022 | | 2022 |
Leptospirosis Prediction Modelling Under Hydrometeorological Extremes Using Random Forest Machine Learning: a Case Study of the Flood Prone Northeastern Districts of Peninsular … V Jayaramu, Z Zulkafli, S Stercke, MF Rahmat, A Ishak, R Abdul Rahman, ... AGU Fall Meeting Abstracts 2021, A15Q-09, 2021 | | 2021 |