Pratheeba Jeyananthan
University of Jaffna
H-index: 5
Asia-Sri Lanka
Top articles of Pratheeba Jeyananthan
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Use of soft computing approaches for the prediction of compressive strength in concrete blends with eggshell powder | Journal of Building Pathology and Rehabilitation | Navaratnarajah Sathiparan Pratheeba Jeyananthan | 2024/6 |
Silica fume as a supplementary cementitious material in pervious concrete: prediction of compressive strength through a machine learning approach | Asian Journal of Civil Engineering | Navaratnarajah Sathiparan Pratheeba Jeyananthan Daniel Niruban Subramaniam | 2024/1/2 |
Exploring machine learning approaches for transcriptome-based diagnosis and subgrouping of multiple system atrophy✰ | Brain Disorders | Pratheeba Jeyananthan U Perera | 2024/3/1 |
Protein data in the identification and stage prediction of bronchopulmonary dysplasia on preterm infants: a machine learning study | International Journal of Information Technology | Pratheeba Jeyananthan KMDD Bandara YGA Nayanajith | 2024/1 |
Soft computing techniques to predict the electrical resistivity of pervious concrete | Asian Journal of Civil Engineering | Daniel Niruban Subramaniam Pratheeba Jeyananthan Navaratnarajah Sathiparan | 2024/1 |
Machine learning in the identification of phenotypes of multiple sclerosis patients | International Journal of Information Technology | Pratheeba Jeyananthan | 2024/2/16 |
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 … | Asian Journal of Civil Engineering | Navaratnarajah Sathiparan Pratheeba Jeyananthan Daniel Niruban Subramaniam | 2024/1 |
Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic pulse velocity and … | Measurement | Navaratnarajah Sathiparan Pratheeba Jeyananthan Daniel Niruban Subramaniam | 2024/2/15 |
Predicting compressive strength of quarry waste-based geopolymer mortar using machine learning algorithms incorporating mix design and ultrasonic pulse velocity | Nondestructive Testing and Evaluation | Navaratnarajah Sathiparan Pratheeba Jeyananthan | 2024/1/13 |
Soft computing to predict the porosity and permeability of pervious concrete based on mix design and ultrasonic pulse velocity | International Journal of Pavement Engineering | Navaratnarajah Sathiparan Sathushka Heshan Wijekoon Pratheeba Jeyananthan Daniel Niruban Subramaniam | 2024/12/31 |
Role of different types of RNA molecules in the severity prediction of SARS-CoV-2 patients | Pathology-Research and Practice | Pratheeba Jeyananthan | 2023/2/1 |
Soft computing techniques to predict the compressive strength of groundnut shell ash-blended concrete | Journal of Engineering and Applied Science | Navaratnarajah Sathiparan Pratheeba Jeyananthan | 2023/12 |
Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach | International Journal of Pavement Engineering | Navaratnarajah Sathiparan Pratheeba Jeyananthan Daniel Niruban Subramaniam | 2023/1/28 |
Investigation of Compaction on Compressive Strength and Porosity of Pervious Concrete | International Journal of Pavement Research and Technology | M Sajeevan DN Subramaniam R Rinduja J Pratheeba | 2023/10/16 |
SARS‑CoV‑2 Diagnosis Using Transcriptome Data: A Machine Learning Approach | Jeyananthan Pratheeba | 2023 | |
Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity | Nondestructive Testing and Evaluation | Navaratnarajah Sathiparan Pratheeba Jeyananthan | 2023/7/26 |
Prediction of masonry prism strength using machine learning technique: Effect of dimension and strength parameters | Materials Today Communications | Navaratnarajah Sathiparan Pratheeba Jeyananthan | 2023/6/1 |
SARS-CoV-2 diagnosis using transcriptome data: a machine learning approach | SN Computer Science | Pratheeba Jeyananthan | 2023/2/17 |
Characterization of the shape of aggregates using image analysis and machine learning classification tools | Geomechanics and Geoengineering | Daniel Niruban Subramaniam Mohan Sajeevan Jeyananthan Pratheeba Sathushka Heshan Bandara Wijekoon Navaratnarajah Sathiparan | 2023/12/4 |
Prolonged viral shedding prediction on non-hospitalized, uncomplicated SARS-CoV-2 patients using their transcriptome data | Computer Methods and Programs in Biomedicine Update | Pratheeba Jeyananthan | 2022/1/1 |
