متابعة
Imesh Udara Ekanayake
Imesh Udara Ekanayake
أسماء أخرىI.U. Ekanayake, Imesh Ekanayake
Computer Engineer / Phd Candidate at RMIT
بريد إلكتروني تم التحقق منه على eng.pdn.ac.lk - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP)‏
IU Ekanayake, DPP Meddage, U Rathnayake‏
Case Studies in Construction Materials, e01059, 2022‏
2732022
Chronic kidney disease prediction using machine learning methods‏
IU Ekanayake, D Herath‏
2020 Moratuwa Engineering Research Conference (MERCon), 260-265, 2020‏
912020
Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings‏
DPP Meddage, IU Ekanayake, AU Weerasuriya, CS Lewangamage, ...‏
Journal of Wind Engineering and Industrial Aerodynamics 226, 105027, 2022‏
592022
A novel explainable AI-based approach to estimate the natural period of vibration of masonry infill reinforced concrete frame structures using different machine learning techniques‏
P Thisovithan, H Aththanayake, DPP Meddage, IU Ekanayake, ...‏
Results in Engineering 19, 101388, 2023‏
472023
Interpretation of machine-learning-based (black-box) wind pressure predictions for low-rise gable-roofed buildings using Shapley additive explanations (SHAP)‏
P Meddage, I Ekanayake, US Perera, HM Azamathulla, MA Md Said, ...‏
Buildings 12 (6), 734, 2022‏
412022
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
332023
Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations‏
IU Ekanayake, S Palitha, S Gamage, DPP Meddage, K Wijesooriya, ...‏
Materials Today Communications 36, 106545, 2023‏
322023
Predicting bulk average velocity with rigid vegetation in open channels using tree-based machine learning: A novel approach using explainable artificial intelligence‏
DPP Meddage, IU Ekanayake, S Herath, R Gobirahavan, N Muttil, ...‏
Sensors 22 (12), 4398, 2022‏
322022
Tree-based Regression Models for Predicting External Wind Pressure of a Building with an Unconventional Configuration‏
DPP Meddage, IU Ekanayake, CS Lewangamage, AU Weerasuriya‏
2021 Moratuwa Engineering Research Conference (MERCon), 2021‏
292021
Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques‏
C Madhushani, K Dananjaya, IU Ekanayake, DPP Meddage, ...‏
Journal of Hydrology 631, 130846, 2024‏
272024
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
232024
A new frontier in streamflow modeling in ungauged basins with sparse data: A modified generative adversarial network with explainable AI‏
U Perera, DTS Coralage, IU Ekanayake, J Alawatugoda, DPP Meddage‏
Results in Engineering 21, 101920, 2024‏
182024
A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP), Case Stud …‏
IU Ekanayake, DPP Meddage, U Rathnayake‏
13
Meddage DPP Modeling strength characteristics of basalt fiber reinforced concrete using multiple explainable machine learning with a graphical user interface‏
K WKVJB, RSS Ranasinghe, US Perera, P Thisovithan, IU Ekanayake‏
Sci. Rep 13 (10.1038), 2023‏
32023
Effect of endogenous and anthropogenic factors on the alkalinisation and salinisation of freshwater in United States by using explainable machine learning‏
ND Wimalagunarathna, G Dharmarathne, IU Ekanayake, U Rathanayake, ...‏
Case Studies in Chemical and Environmental Engineering 10, 100919, 2024‏
12024
Navigating the Ethical Landscape of ChatGPT Integration in Scientific Research: Review of Challenges and Recommendations‏
AO Waduge, WKVJB Kulasooriya, RSS Ranasinghe, I Ekanayake, ...‏
Journal of Computational and Cognitive Engineering 3 (4), 360-372, 2024‏
12024
Segmentation and significance of herniation measurement using Lumbar Intervertebral Discs from the Axial View‏
Y Siriwardhana, D Karunarathna, IU Ekanayake‏
12022
A novel application with explainable machine learning (SHAP and LIME) to predict soil N, P, and K nutrient content in cabbage cultivation‏
T Abekoon, H Sajindra, N Rathnayake, IU Ekanayake, A Jayakody, ...‏
Smart Agricultural Technology, 100879, 2025‏
2025
Overall Survival predictions of GBM Patients using Radiomics: An Explainable AI Approach using SHAP‏
A Alahakoon, CK Walgampaya, S Walgampaya, IU Ekanayake, ...‏
IEEE Access, 2024‏
2024
Downscaling Future Precipitation over Mi Oya River Basin using Artificial Neural Networks‏
H Koswaththa, SK Ranasinghe, I Ekanayake, D Herath, N Neluwala‏
Engineer: Journal of the Institution of Engineers, Sri Lanka 57 (2), 2024‏
2024
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مقالات 1–20