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Issue Date
Title
Author(s)
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
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.
2023
Soft computing techniques to predict the electrical resistivity of pervious concrete
Daniel Niruban, S.
;
Pratheeba, J.
;
Sathiparan, N.
2023
Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach
Sathiparan, N.
;
Pratheeba, J.
;
Daniel Niruban, S.
Discover
Author
4
Daniel Niruban, S.
4
Pratheeba, J.
4
Sathiparan, N.
Subject
2
Compaction energy
2
SHAP
1
Compressive strength
1
Electrical resistivity
1
ER
1
Fly ash
1
Surface response regression
1
Ultrasonic pulse velocity
1
UPV
Date issued
4
2023
Has File(s)
4
true