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Issue Date	Title	Author(s)
2023	Protein data in the identification and stage prediction of bronchopulmonary dysplasia on preterm infants: a machine learning study	Pratheeba, J.; Bandara, K.M.D.D.; Nayanqjith, Y.G.A.
2023	SARS-CoV-2 Diagnosis Using Transcriptome Data: A Machine Learning Approach	Pratheeba, J.
2023	Prediction of masonry prism strength using machine learning technique: Effect of dimension and strength parameters	Sathiparan, N.; Pratheeba, J.
2023	Role of Different types of RNA molecules in the severity prediction of SARS-CoV - 2 patients.	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	Performance evaluation of submerged membrane bioreactor for the removal of microalgae from the source water of a water treatment plant	Thiruchchelvam, Thinojah; Kalahara, Walimuni Dissanayakage Lakshitha Manula; Abeykoon, Yatikindage Malith Dilshan; Balachandran, Ketheesan
2023	QuantifyingtheImpactofUncertainMaterialParametersonPavement ResponseusinganInverseModellingTechnique	P, Kathirgamanathan; M, Vignarajah