| Modeling strength characteristics of basalt fiber reinforced concrete using multiple explainable machine learning with a graphical user interface W Kulasooriya, RSS Ranasinghe, US Perera, P Thisovithan, ... Scientific Reports 13 (1), 13138, 2023 | 64 | 2023 |
| Eco-friendly mix design of slag-ash-based geopolymer concrete using explainable deep learning RSS Ranasinghe, W Kulasooriya, US Perera, IU Ekanayake, ... Results in Engineering 23, 102503, 2024 | 48 | 2024 |
| Predicting moment-rotation behaviour of beam to column extended endplate bolted connections: An explainable machine learning approach S Dharmawansha, W Kulasooriya, S Herath, DPP Meddage Materials Today Communications 47, 113086, 2025 | 1 | 2025 |
| Numerical Analysis of Web Crippling in Web Rib-stiffened Lipped Channel (WRLC) Beams with Perforations DPPM W. K. V. J. B. Kulasooriya, H. M. S. T. Herath Society of Structural Engineers, Sri Lanka (SSESL) Annual Sessions 2025, 2025 | | 2025 |
| MACHINE LEARNING APPROACHES TO PREDICT COMPRESSIVE STRENGTH OF RECYCLED AGGREGATE CONCRETE WKVJB KULASOORIYA & WPS DIAS TOPC STRENGTH Multidisciplinary Approaches in Artificial Intelligence, 1, 2025 | | 2025 |
| Use of Interpretable Machine Learning Methods to Predict the Fundamental Period of Masonry Infilled Reinforced Concrete Frame Structures UJ Ukwaththa, TSD Liyanarachchi, W Kulasooriya, RSS Ranasinghe 2024 Moratuwa Engineering Research Conference (MERCon), 127-132, 2024 | | 2024 |
D. P. P. MeddageUniversity of New South Wales, AustraliaVerified email at unsw.edu.au
