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Issue DateTitleAuthor(s)
2023A New Generation of Fast and Low-Memory Smart Digital/Geometrical Beamforming MIMO AntennaPirapaharan, K.; Prabhashana, W.H.S.; Pramuka Medaranga, S.P.; Hoole, P.R.P.; Fernando, X.
2023Unusual discovery: Incidental diagnosis of adrenal myelolipoma, initially confused with liposarcoma, following bee sting bite, resolving chronic right hypochondrial discomfort - A case reportBalagobi, B.; Gobishangar, S.; Jathavani Mariyo Maznet, T.; Priyatharsan, K.; Heerthikan, K.; Vaishnavi, T.
2023The Psychological Impact of the COVID-19 Pandemic on Pregnant WomenRaguraman, S.; Muhunthan, K.
2023Protein data in the identification and stage prediction of bronchopulmonary dysplasia on preterm infants: a machine learning studyPratheeba, J.; Bandara, K.M.D.D.; Nayanqjith, Y.G.A.
2023SARS-CoV-2 Diagnosis Using Transcriptome Data: A Machine Learning ApproachPratheeba, J.
2023Prediction of masonry prism strength using machine learning technique: Effect of dimension and strength parametersSathiparan, N.; Pratheeba, J.
2023Role of Different types of RNA molecules in the severity prediction of SARS-CoV - 2 patients.Pratheeba, J.
2023Soft computing techniques to predict the compressive strength of groundnut shell ash-blended concreteSathiparan, N.; Pratheeba, J.
2023Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic pulse velocity and electrical resistivitySathiparan, N.; Pratheeba, J.; Daniel Niruban, S.
2023Predicting compressive strength of cementstabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivitySathiparan, N.; Pratheeba, J.