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I

I.U. Ekanayake

royal melbourne institute of technology

12H指数
39论文数
1.0K被引数
收录论文 14
发表时间
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Code-compliant optimal design of reinforced concrete slab beam systems for low to mid-rise buildings using heterogeneous graph neural networks with attention layers采用带注意力层的异构图神经网络对低层至中层建筑中钢筋混凝土板梁系统的合规性最优设计
errJournal of Building Engineering
IF7.4
err2025-11-13
err0
errOAAI
errNavod Jayaweera; Arosha Abeyrathna; Sumudu Herath; I.U. Ekanayake; D.P.P. Meddage
err分享
err收藏
Prediction of the strength characteristics of basalt fibre reinforced concrete using explainable machine learning models基于可解释机器学习模型对玄武岩纤维增强混凝土强度特性的预测
errDiscover Applied Sciences
IF0
err2025-08-05
err0
errOAAI
errB. Y. Wickramasuriya; Yasitha Alahakoon; B. R. G. A. Krishantha; Janaka Alawatugoda; I. U. Ekanayake
err分享
err收藏
A novel application with explainable machine learning (SHAP and LIME) to predict soil N, P, and K nutrient content in cabbage cultivation一种基于可解释机器学习（SHAP和LIME）预测甘蓝种植中土壤N、P和K养分含量的新应用
errSMART AGRICULTURAL TECHNOLOGY
IF5.7
err2025-06-11
err0
errOAAI
errAbekoon, Thilina; Sajindra, Hirushan; Rathnayake, Namal; Ekanayake, Imesh U.; Jayakody, Anuradha
err分享
err收藏
Eco-friendly mix design of slag-ash-based geopolymer concrete using explainable deep learning
errRESULTS IN ENGINEERING
IF7.9
err2024-09-01
err11
errOAAI
errRanasinghe, R. S. S.; Kulasooriya, W. K. V. J. B.; Perera, Udara Sachinthana; Ekanayake, I. U.; Meddage, D. P. P.; Mohotti, Damith; Rathanayake, Upaka
err分享
err收藏
A new frontier in streamflow modeling in ungauged basins with sparse data: A modified generative adversarial network with explainable AI具有稀疏数据的未测量盆地中水流建模的新领域: 具有可解释AI的改进的生成对抗网络
errRESULTS IN ENGINEERING
IF7.9
err2024-03-01
err13
errOAAI
errPerera, U. A. K. K.; Coralage, D. T. S.; Ekanayake, I. U.; Alawatugoda, Janaka; Meddage, D. P. P.
err分享
err收藏
Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques
errJOURNAL OF HYDROLOGY
IF6.3
err2024-03-01
err19
PREAI
errMadhushani, Charuni; Dananjaya, Kusal; Ekanayake, I. U.; Meddage, D. P. P.; Kantamaneni, Komali; Rathnayake, Upaka
err分享
err收藏
Overall Survival Predictions of GBM Patients Using Radiomics: An Explainable AI Approach Using SHAP使用放射组学对GBM患者的总体生存预测: 使用SHAP的可解释的AI方法
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errAlahakoon, A. M. H. H.; Walgampaya, C. K.; Walgampaya, Shyama; Ekanayake, I. U.; Alawatugoda, Janaka
err分享
err收藏
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
errRESULTS IN ENGINEERING
IF7.9
err2023-09-01
err35
errOAAI
errThisovithan, P.; Aththanayake, Harinda; Meddage, D. P. P.; Ekanayake, I. U.; Rathnayake, Upaka
err分享
err收藏
Modeling strength characteristics of basalt fiber reinforced concrete using multiple explainable machine learning with a graphical user interface
errSCIENTIFIC REPORTS
IF3.9
err2023-08-12
err27
errOAAI
errKulasooriya, W. K. V. J. B.; Ranasinghe, R. S. S.; Perera, Udara Sachinthana; Thisovithan, P.; Ekanayake, I. U.; Meddage, D. P. P.
err分享
err收藏
Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations使用梯度增强模型和可解释的人工智能可视化预测微图案表面的粘附强度
errMATERIALS TODAY COMMUNICATIONS
IF4.5
err2023-08-01
err14
errOAAI
errEkanayake, I. U.; Palitha, Sandini; Gamage, Sajani; Meddage, D. P. P.; Wijesooriya, Kasun; Mohotti, Damith
err分享
err收藏
Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings可解释的机器学习 (XML) 预测城市环境中低层建筑的外部风压
errJOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
IF4.9
err2022-07-01
err35
errOAAI
errMeddage, D. P. P.; Ekanayake, I. U.; Weerasuriya, A. U.; Lewangamage, C. S.; Tse, K. T.; Miyanawala, T. P.; Ramanayaka, C. D. E.
err分享
err收藏
Predicting Bulk Average Velocity with Rigid Vegetation in Open Channels Using Tree-Based Machine Learning: A Novel Approach Using Explainable Artificial Intelligence使用基于树的机器学习预测明渠中刚性植被的整体平均速度: 一种使用可解释的人工智能的新方法
errSENSORS
IF3.5
err2022-06-10
err20
errOAAI
errMeddage, D. P. P.; Ekanayake, I. U.; Herath, Sumudu; Gobirahavan, R.; Muttil, Nitin; Rathnayake, Upaka
err分享
err收藏
A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP)使用Shapley加法解释 (SHAP) 解释机器学习在混凝土抗压强度预测中的黑箱性质的新方法
errCASE STUDIES IN CONSTRUCTION MATERIALS
IF6.6
err2022-06-01
err194
errOAAI
errEkanayake, I. U.; Meddage, D. P. P.; Rathnayake, Upaka
err分享
err收藏
Interpretation of Machine-Learning-Based (Black-box) Wind Pressure Predictions for Low-Rise Gable-Roofed Buildings Using Shapley Additive Explanations (SHAP)使用Shapley加法解释 (SHAP) 对低层山墙屋顶建筑的基于机器学习的 (黑盒) 风压预测进行解释
errBUILDINGS
IF3.1
err2022-05-29
err31
errOAAI
errMeddage, Pasindu; Ekanayake, Imesh; Perera, Udara Sachinthana; Azamathulla, Hazi Md; Said, Md Azlin Md; Rathnayake, Upaka
err分享
err收藏

研究方向

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合作学者
合作期刊
H
Hazi Mohammad Azamathulla
H 指数: 47 · 论文数: 219
K
K.T. Tse
H 指数: 40 · 论文数: 323
N
Nitin Muttil
H 指数: 37 · 论文数: 151
U
Upaka Rathnayake
H 指数: 35 · 论文数: 280
D
Damith Mohotti
H 指数: 30 · 论文数: 115
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