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Pratheeba Jeyananthan

University Jaffna

10H指数
45论文数
392被引数
收录论文 14
发表时间
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OMICS data in the diagnosis of diabetic retinopathy: A comparison between transcriptome data and DNA methylation data组学数据在糖尿病视网膜病变诊断中的应用：转录组数据与DNA甲基化数据的比较
errExperimental Eye Research
IF2.7
err2026-03-27
err0
PREAI
errPratheeba Jeyananthan; H.V.B.L. Chandrasiri; A.G.F. Ashfa
err分享
err收藏
Sorption behavior of cement-stabilized earth blocks: machine learning insights水泥稳定土块吸附行为：机器学习见解
errINNOVATIVE INFRASTRUCTURE SOLUTIONS
IF2.4
err2025-10-17
err0
PREAI
errSathiparan, Navaratnarajah; Jeyananthan, Pratheeba
err分享
err收藏
Boosted Forest Model for Aggregate Size and Shape Impact on Porosity and Compressive Strength of Pervious Concrete提升森林模型用于分析透水混凝土中骨料尺寸和形状对孔隙率和抗压强度的影响
errInternational Journal of Pavement Research and Technology
IF2.5
err2025-07-18
err0
PREAI
errDaniel Niruban Subramaniam; Pratheeba Jeyananthan; Navaratnarajah Sathiparan
err分享
err收藏
Prediction of characteristics of pervious concrete by machine learning technique using mix parameters and non-destructive test measurements
errNONDESTRUCTIVE TESTING AND EVALUATION
IF4.2
err2025-02-20
err0
PREAI
errSathiparan, Navaratnarajah; Wijekoon, Sathushka Heshan; Jeyananthan, Pratheeba; Subramaniam, Daniel Niruban
err分享
err收藏
Machine learning techniques to evaluate the impact of calcium oxide (CaO) and silicon dioxide (SiO2) in supplementary cement materials on the compressive strength of sustainable pervious concrete
errSUSTAINABLE CHEMISTRY AND PHARMACY
IF5.8
err2024-12-01
err0
PREAI
errSathiparan, Navaratnarajah; Jeyananthan, Pratheeba; Subramaniam, Daniel Niruban
err分享
err收藏
Quantifying the impact of chemical composition on pervious concrete strength: a comparative analysis using full quadratic model and artificial neural network
errINTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
IF3.3
err2024-11-22
err0
PREAI
errSathiparan, Navaratnarajah; Jeyananthan, Pratheeba; Subramaniam, Daniel Niruban
err分享
err收藏
Role of different omics data in the diagnosis of schizophrenia disorder: A machine learning study
errSCHIZOPHRENIA RESEARCH
IF3.5
err2024-09-01
err2
PREAI
errVarathan, Aarthy; Senthooran, Suntharalingam; Jeyananthan, Pratheeba
err分享
err收藏
Response surface regression and machine learning models to predict the porosity and compressive strength of pervious concrete based on mix design parameters
errROAD MATERIALS AND PAVEMENT DESIGN
IF3
err2024-07-09
err2
PREAI
errSathiparan, Navaratnarajah; Wijekoon, Sathushka Heshan; Ravi, Rinduja; Jeyananthan, Pratheeba; Subramaniam, Daniel Niruban
err分享
err收藏
Soft computing to predict the porosity and permeability of pervious concrete based on mix design and ultrasonic pulse velocity
errINTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
IF3.3
err2024-04-09
err8
PREAI
errSathiparan, Navaratnarajah; Wijekoon, Sathushka Heshan; Jeyananthan, Pratheeba; Subramaniam, Daniel Niruban
err分享
err收藏
Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic pulse velocity and electrical resistivity表面响应回归和机器学习技术使用无损测量预测透水混凝土的特性: 超声波脉冲速度和电阻率
errMEASUREMENT
IF5.6
err2024-02-01
err18
PREAI
errSathiparan, Navaratnarajah; Jeyananthan, Pratheeba; Subramaniam, Daniel Niruban
err分享
err收藏
Predicting compressive strength of quarry waste-based geopolymer mortar using machine learning algorithms incorporating mix design and ultrasonic pulse velocity
errNONDESTRUCTIVE TESTING AND EVALUATION
IF4.2
err2024-01-11
err7
PREAI
errSathiparan, Navaratnarajah; Jeyananthan, Pratheeba
err分享
err收藏
Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach掺粉煤灰透水混凝土抗压强度预测的机器学习方法
errINTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
IF3.3
err2023-12-06
err14
PREAI
errSathiparan, Navaratnarajah; Jeyananthan, Pratheeba; Subramaniam, Daniel Niruban
err分享
err收藏
Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity
errNONDESTRUCTIVE TESTING AND EVALUATION
IF4.2
err2023-07-24
err15
PREAI
errSathiparan, Navaratnarajah; Jeyananthan, Pratheeba
err分享
err收藏
Prediction of masonry prism strength using machine learning technique: Effect of dimension and strength parameters
errMATERIALS TODAY COMMUNICATIONS
IF4.5
err2023-06-01
err22
PREAI
errSathiparan, Navaratnarajah; Jeyananthan, Pratheeba
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
N
Navaratnarajah Sathiparan
H 指数: 29 · 论文数: 130
D
Daniel Niruban Subramaniam
H 指数: 15 · 论文数: 64
S
Sathushka Heshan Bandara Wijekoon
H 指数: 6 · 论文数: 11
A
Aarthy Varathan
H 指数: 1 · 论文数: 2
S
Suntharalingam Senthooran
H 指数: 1 · 论文数: 2
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