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Issue Date
Title
Author(s)
2022-04
A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP)
Ekanayake, I.U
;
Meddage, D. P. P
;
Rathnayake, U
2022-07
Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings
Meddage, D. P. P
;
Ekanayake, I
;
Weerasuriya, A
;
Lewangamage, C. S
;
Ramanayaka, C. D. E
;
Miyanawala, T
2022-04-19
Investigating applicability of sawdust and retro-reflective materials as external wall insulation under tropical climatic conditions
Dharmasena, P
;
Meddage, D. P. P
;
Mendis, S
2022-06-10
Predicting Bulk Average Velocity with Rigid Vegetation in Open Channels Using Tree-Based Machine Learning: A Novel Approach Using Explainable Artificial Intelligence
Meddage, D. P. P
;
Ekanayake, I. U
;
Herath, S
;
Gobirahavan, R
;
Muttil, N
;
Rathnayake, U
2022-07-13
Influence of Crumb Rubber and Coconut Coir on Strength and Durability Characteristics of Interlocking Paving Blocks
Gamage, S
;
Palitha, S
;
Meddage, D. P. P
;
Mendis, S
;
Azamathulla, H. M
;
Rathnayake, U
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Author
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Herath, S
1
Lewangamage, C. S
1
Miyanawala, T
1
Muttil, N
1
Palitha, S
1
Ramanayaka, C. D. E
1
Weerasuriya, A
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Explainable machine learning
1
bulk average velocity
1
coconut coir fiber
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Compressive strength
1
crumb rubber
1
durability characteristics
1
explainable artificial intelligence
1
interlocking paving block
1
Laplacian kernel Ridge Regression
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Low-rise building
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Date issued
5
2022