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Pratheeba Jeyananthan
Pratheeba Jeyananthan
Department of Computer Engineering, Faculty of Engineering, University of Jaffna
Verified email at eng.jfn.ac.lk
Title
Cited by
Cited by
Year
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
142023
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
82024
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
82024
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
62023
SARS-CoV-2 diagnosis using transcriptome data: a machine learning approach
P Jeyananthan
SN Computer Science 4 (3), 218, 2023
52023
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
52023
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
52022
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
42024
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
22023
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
22022
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
12024
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
12024
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
12023
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
12019
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
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
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
2024
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, 1-23, 2023
2023
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