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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.