| Prediction of masonry prism strength using machine learning technique: Effect of dimension and strength parameters N Sathiparan, P Jeyananthan Materials Today Communications 35, 106282, 2023 | 34 | 2023 |
| Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic pulse velocity and … N Sathiparan, P Jeyananthan, DN Subramaniam Measurement 225, 114006, 2024 | 22 | 2024 |
| Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity N Sathiparan, P Jeyananthan Nondestructive Testing and Evaluation 39 (5), 1045-1069, 2024 | 20 | 2024 |
| 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 … N Sathiparan, P Jeyananthan, DN Subramaniam Asian Journal of Civil Engineering 25 (1), 495-509, 2024 | 20 | 2024 |
| Soft computing techniques to predict the electrical resistivity of pervious concrete DN Subramaniam, P Jeyananthan, N Sathiparan Asian Journal of Civil Engineering 25 (1), 711-722, 2024 | 17 | 2024 |
| Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach N Sathiparan, P Jeyananthan, DN Subramaniam International Journal of Pavement Engineering 24 (2), 2287146, 2023 | 17 | 2023 |
| Silica fume as a supplementary cementitious material in pervious concrete: prediction of compressive strength through a machine learning approach N Sathiparan, P Jeyananthan, DN Subramaniam Asian Journal of Civil Engineering 25 (3), 2963-2977, 2024 | 11 | 2024 |
| Predicting compressive strength of quarry waste-based geopolymer mortar using machine learning algorithms incorporating mix design and ultrasonic pulse velocity N Sathiparan, P Jeyananthan Nondestructive Testing and Evaluation, 1-24, 2024 | 10 | 2024 |
| SARS-CoV-2 diagnosis using transcriptome data: a machine learning approach P Jeyananthan SN Computer Science 4 (3), 218, 2023 | 8 | 2023 |
| Characterization of the shape of aggregates using image analysis and machine learning classification tools DN Subramaniam, M Sajeevan, J Pratheeba, SHB Wijekoon, ... Geomechanics and Geoengineering 19 (4), 421-443, 2024 | 7 | 2024 |
| Role of different types of RNA molecules in the severity prediction of SARS-CoV-2 patients P Jeyananthan Pathology-Research and Practice 242, 154311, 2023 | 7 | 2023 |
| Investigation of compaction on compressive strength and porosity of pervious concrete M Sajeevan, DN Subramaniam, R Rinduja, J Pratheeba International Journal of Pavement Research and Technology, 1-16, 2023 | 7 | 2023 |
| Protein data in the identification and stage prediction of bronchopulmonary dysplasia on preterm infants: a machine learning study P Jeyananthan, K Bandara, YGA Nayanajith International Journal of Information Technology 16 (1), 387-392, 2024 | 6 | 2024 |
| Soft computing to predict the porosity and permeability of pervious concrete based on mix design and ultrasonic pulse velocity N Sathiparan, SH Wijekoon, P Jeyananthan, DN Subramaniam International Journal of Pavement Engineering 25 (1), 2337916, 2024 | 6 | 2024 |
| Soft computing techniques to predict the compressive strength of groundnut shell ash-blended concrete N Sathiparan, P Jeyananthan Journal of Engineering and Applied Science 70 (1), 134, 2023 | 6 | 2023 |
| Prolonged viral shedding prediction on non-hospitalized, uncomplicated SARS-CoV-2 patients using their transcriptome data P Jeyananthan Computer Methods and Programs in Biomedicine Update 2, 100070, 2022 | 6 | 2022 |
| Influence of metakaolin on pervious concrete strength: a machine learning approach with shapley additive explanations N Sathiparan, P Jeyananthan, DN Subramaniam Multiscale and Multidisciplinary Modeling, Experiments and Design, 1-28, 2024 | 5 | 2024 |
| Machine learning in the identification of phenotypes of multiple sclerosis patients P Jeyananthan International Journal of Information Technology 16 (4), 2307-2313, 2024 | 3 | 2024 |
| Predicting compressive strength of pervious concrete with fly ash: a machine learning approach and analysis of fly ash compositional influence N Sathiparan, P Jeyananthan, DN Subramaniam Multiscale and Multidisciplinary Modeling, Experiments and Design, 1-21, 2024 | 3 | 2024 |
| Comprehensive Machine Learning Analysis on the Phenotypes of COVID-19 Patients Using Transcriptome Data P Jeyananthan Arab Gulf Journal of Scientific Research 39 (No. 2 (special)), 79-137, 2022 | 3 | 2022 |
Navaratnarajah SathiparanProfessor, Dept. of Civil Engineering, University of Jaffna, Sri LankaZweryfikowany adres z eng.jfn.ac.lk