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Browsing by Author Pratheeba, J.
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Showing results 7 to 17 of 17
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Issue Date
Title
Author(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
Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach
Sathiparan, N.
;
Pratheeba, J.
;
Daniel Niruban, S.
2023
Prediction of masonry prism strength using machine learning technique: Effect of dimension and strength parameters
Sathiparan, N.
;
Pratheeba, J.
2022
Prolonged viral shedding prediction on non-hospitalized, uncomplicated SARS-CoV-2 patients using their transcriptome data
Pratheeba, J.
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
Role of Different types of RNA molecules in the severity prediction of SARS-CoV - 2 patients.
Pratheeba, J.
2023
SARS-CoV-2 Diagnosis Using Transcriptome Data: A Machine Learning Approach
Pratheeba, J.
2023
Soft computing techniques to predict the compressive strength of groundnut shell ash-blended concrete
Sathiparan, N.
;
Pratheeba, J.
2023
Soft computing techniques to predict the electrical resistivity of pervious concrete
Daniel Niruban, S.
;
Pratheeba, J.
;
Sathiparan, N.
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
Use of soft computing approaches for the prediction of compressive strength in concrete blends with eggshell powder
Sathiparan, N.
;
Pratheeba, J.