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Results 1-10 of 21 (Search time: 0.002 seconds).
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Issue Date
Title
Author(s)
2023
Prediction of masonry prism strength using machine learning technique: Effect of dimension and strength parameters
Sathiparan, N.
;
Pratheeba, J.
2023
Soft computing techniques to predict the compressive strength of groundnut shell ash-blended concrete
Sathiparan, N.
;
Pratheeba, J.
2023
Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic pulse velocity and electrical resistivity
Sathiparan, N.
;
Pratheeba, J.
;
Daniel Niruban, S.
2023
Predicting compressive strength of cementstabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity
Sathiparan, N.
;
Pratheeba, J.
2023
A mathematical model to predict the porosity and compressive strength of pervious concrete based on the aggregate size, aggregate‑to‑cement ratio and compaction effort
Sathushka Heshan, W.
;
Thirugnasivam, S.
;
Daniel Niruban, S.
;
Sathiparan, N.
2023
Prediction of characteristics of cement stabilized earth blocks using non-destructive testing: Ultrasonic pulse velocity and electrical resistivity
Sathiparan, N.
;
Jayasundara, W.G.B.S.
;
Samarakoon, K.S.D.
;
Banujan, B.
2023
Performance of sustainable cement mortar containing different types of masonry construction and demolition wastes
Sathiparan, N.
2023
Characteristic evaluation of geopolymer based lateritic soil stabilization enriched with eggshell ash and rice husk ash for road construction: An experimental investigation
Anburuvel, A.
;
Sathiparan, N.
;
Anuradha Dhananjaya, G.M.
;
Anuruththan, A.
2023
Characterization of the shape of aggregates using image analysis and machine learning classification tools
Daniel Niruban, S.
;
Mohan, S.
;
Pratheeba, J.
;
Sathushka, Heshan Bandara Wijekoon
;
Sathiparan, N.
2023
Effect of aggregate size, aggregate to cement ratio and compaction energy on ultrasonic pulse velocity of pervious concrete: prediction by an analytical model and machine learning techniques
Sathiparan, N.
;
Pratheeba, J.
;
Daniel Niruban, S.
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Pratheeba, J.
9
Daniel Niruban, S.
3
Anburuvel, A.
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Sathushka Heshan, W.
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Virgin Vinusha, S.
1
Anuradha Dhananjaya, G.M.
1
Anuruththan, A.
1
Arunjeyan, R.
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Banujan, B.
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Janarththan, P.
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Machine learning
7
Compressive strength
7
Pervious concrete
5
Masonry
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Sustainability
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Groundnut shell ash
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Compaction energy
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