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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.
2022	Tracking Everyone and Everything in Smart Cities with an ANN Driven Smart Antenna	Herman, K.; Hoole, P.R.P.; Pirapaharan, K.; Hoole, S.R.H.
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.
2023	Use of soft computing approaches for the prediction of compressive strength in concrete blends with eggshell powder	Sathiparan, N.; Pratheeba, J.