| Applying Artificial Neural Networks for Predicting Beach Vulnerability to Storm-Induced Erosion S Thilakarathne, T Suzuki, M Mäll Journal of JSCE 11 (2), 2023 | 3 | 2023 |
| A Simple Approach to Predict the Beach Vulnerability to Storm-induced Erosion in Hasaki Coast, Japan S Thilakarathne, T Suzuki, M Mäll, H Higa, MA Malek Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering …, 2022 | 3 | 2022 |
| A Case Study on the Retention Tanks in the Walawe Ganga River Basin, Sri Lanka S Thilakarathne, TMN Wijayaratna 2018 Moratuwa Engineering Research Conference (MERCon), 482-487, 2018 | 3 | 2018 |
| Machine learning-driven approach to quantify the beach susceptibility to storm-induced erosion S Thilakarathne, T Suzuki, M Mäll Coastal Engineering Journal, 1-18, 2023 | 1 | 2023 |
| Effect of Climate Change on Monthly Pond Storage Variation - A Case Study in Jaffna, Sri Lanka S Thilakarathne, RLHL Rajapakse, TMN Wijayaratna International Conference on Civil Engineering and Applications - ICCEA2019 1, 2019 | 1 | 2019 |
| Holistic Behavior of Urban Pond Systems for Flood Risk Mitigation - A Case Study in Jaffna Municipal Council Area S Thilakarathne, TMN Wijayaratna, RLHL Rajapakse International Conference on Sustainable Built Environment 2018 (ICSBE) 9, 2018 | 1 | 2018 |
| Beach resilience to storm-induced erosion: a machine learning-driven approach to identify key morphometrics to recovery S Thilakarathne, T Suzuki, M Mäll, M Banno | | 2024 |
| Scenario analysis to identify a sustainable pond rehabilitation approach for flood mitigation: A case study in Jaffna, Sri Lanka S Thilakarathne, TMN Wijayaratna, RLHL Rajapakse | | 2019 |
| A Case study on sustainable restoration approach for cascade pond systems in Jaffna municipal council area for effective flood management S Thilakarathne | | 2019 |
Takayuki SUZUKIYokohama National UniversityVerified email at ynu.ac.jp
