Pratheeba Jeyananthan

Prediction of masonry prism strength using machine learning technique: Effect of dimension and strength parameters

Navaratnarajah Sathiparan, Pratheeba Jeyananthan · Materials Today Communications · 2023 · 46 citations

Machine Learning Technique, Strength Parameters, Masonry Prism Strength +8

Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic pulse velocity and electrical resistivity

Navaratnarajah Sathiparan, Pratheeba Jeyananthan, Daniel Niruban Subramaniam · Measurement · 2023 · 46 citations

Engineering, Cement-based Construction Material, Civil Engineering +9

Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity

Navaratnarajah Sathiparan, Pratheeba Jeyananthan · Nondestructive Testing And Evaluation · 2023 · 36 citations

Engineering, Cement Manufacture, Machine Learning Models +18

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

Navaratnarajah Sathiparan, Pratheeba Jeyananthan, Daniel Niruban Subramaniam · Asian Journal of Civil Engineering · 2023 · 30 citations

Cementation, Engineering, Civil Engineering +10

Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach

Navaratnarajah Sathiparan, Pratheeba Jeyananthan, Daniel Niruban Subramaniam · International Journal of Pavement Engineering · 2023 · 26 citations

Pavement Engineering, Engineering, Machine Learning +18