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Issue Date	Title	Author(s)
2025	Investigation of the compactability of pervious concrete and its impact on porosity and compressive strength	Subramaniam, D.N.
2025	Investigation of Compaction on Compressive Strength and Porosity of Pervious Concrete	Sajeevan, M.; Subramaniam, D.N.; Rinduja, R.; Pratheeba, J.
2025	Investigation on the effectiveness of fourier shape analysis in classifying milled aggregates	Mithulavan, V.; Samarasinghe, T.; Valluvan, R.; Karnan, N.; Sathiparan, N.; Subramaniam, D.N.
2025	Investigation of impact of aggregate shape on pervious concrete using machine learning classification methods	Wijekoon, S.H.B.; Ahilash, N.; Pravinjan, V.; Virupashan, K.; Sathiparan, N.; Jeyananthan, P.; Subramaniam, D.N.
2025	Predicting compressive strength in cement mortar: The impact of fly ash composition through machine learning	Sathiparan, N.
2025	The impact of oxides of cementitious materials on mortar strength: A machine learning perspective	Sathiparan, N.
2025	A systematic review of corncob ash in construction: Current findings and future directions	Sathiparan, N.
2024	Soft computing to predict the porosity and permeability of pervious concrete based on mix design and ultrasonic pulse velocity	Sathiparan, N.; Wijekoon, S.H.; Jeyananthan, P.; Subramaniam, D.N.
2025	Response surface regression and machine learning models to predict the porosity and compressive strength of pervious concrete based on mix design parameters	Sathiparan, N.; Wijekoon, S.H.; Ravi, R.; Jeyananthan, P.; Subramaniam, D.N.
2024	Quantifying the impact of chemical composition on pervious concrete strength: a comparative analysis using full quadratic model and artificial neural network	Sathiparan, N.; Jeyananthan, P.; Subramaniam, D.N.
2024	Predicting compressive strength of quarry waste-based geopolymer mortar using machine learning algorithms incorporating mix design and ultrasonic pulse velocity	Sathiparan, N.; Jeyananthan, P.
2024	Optimisation of pervious concrete performance by varying aggregate shape, size, aggregate-tocement ratio, and compaction effort by using the Taguchi method	Wijekoon, S.H.B.; Sathiparan, N.; Subramaniam, D.N.
2023	Comparative study of fly ash and rice husk ash as cement replacement in pervious concrete: mechanical characteristics and sustainability analysis	Subramaniam, D.N.; Sathiparan, N.
2024	Characterisation of the shape of aggregates using image analysis	Subramaniam, D.N.; Dassanayake, D.H.H.P.; Ahilash, N.; Wijekoon, S.H.B.; Sathiparan, N.
2024	Silica fume as a supplementary cementitious material in pervious concrete: prediction of compressive strength through a machine learning approach	Sathiparan, N.; Jeyananthan, P.; Subramaniam, D.N.
2023	Statistical Assessment of Different Aggregate Shape Factors	Wijekoon, S.H.B.; Subramaniam, D.N.; Sathiparan, N.
2025	Statistical investigation of aggregate size and shape impact on porosity and compressive strength of pervious concrete	Sajeevan, M.; Ahilash, N.; Shobijan, J.; Pravinjan, V.; Virupashan, K.; Sathiparan, N.; Subramaniam, D.N.
2024	Prediction of moisture content of cementstabilized earth blocks using soil characteristics, cement content, and ultrasonic pulse velocity	Sathiparan, N.; Tharuka, R.A.N.S.; Jeyananthan, P.
2023	Soft computing techniques to predict the compressive strength of groundnut shell ash‑blended concrete	Sathiparan, N.; Jeyananthan, P.
2025	Comparative analysis of machine learning models and standard codes for predicting compressive strength in hollow block masonry	Sathiparan, N.; Jeyananthan, P.