| 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 | 16 | 2023 |
| 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 | 10 | 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 | 9 | 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, 1-25, 2023 | 7 | 2023 |
| SARS-CoV-2 diagnosis using transcriptome data: a machine learning approach P Jeyananthan SN Computer Science 4 (3), 218, 2023 | 5 | 2023 |
| 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 | 5 | 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 | 5 | 2022 |
| 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 | 4 | 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 | 3 | 2023 |
| 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 | 2 | 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 | 2 | 2022 |
| 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 | 1 | 2024 |
| 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, 1-15, 2024 | 1 | 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 | 1 | 2023 |
| classification and regression analysis of lung tumors from multi-level gene expression data P Jeyananthan, M Niranjan 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 1 | 2019 |
| 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 | | 2024 |
| Use of soft computing approaches for the prediction of compressive strength in concrete blends with eggshell powder N Sathiparan, P Jeyananthan Journal of Building Pathology and Rehabilitation 9 (1), 12, 2024 | | 2024 |
| 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 | | 2024 |
| Exploring machine learning approaches for transcriptome-based diagnosis and subgrouping of multiple system atrophy✰ P Jeyananthan, U Perera Brain Disorders 13, 100124, 2024 | | 2024 |
| Machine learning in the identification of phenotypes of multiple sclerosis patients P Jeyananthan International Journal of Information Technology, 1-7, 2024 | | 2024 |
Navaratnarajah SathiparanProfessor, Dept. of Civil Engineering, University of Jaffna, Sri LankaVerifierad e-postadress på eng.jfn.ac.lk
