• Brain Network Measures for Groups of Nodes: Application to Normal Aging and Alzheimer's Disease 

  Srivishagan, S.; Perera, A.A.I.; Hojjat, A.; Ratnarajah, N. (Mary Ann Liebert- Sage, 2020)

  Background: The nodal brain network measures (e.g., centrality measures) are defined for a single node and the global network measures (e.g., global efficiency) are defined for the whole brain in the literature. But a ...
• Reduced dengue incidence during the COVID-19 movement restrictions in Sri Lanka from March 2020 to April 2021 

  Surendran, S.N.; Nagulan, R.; Sivabalakrishnan, K.; Tharsan, A.; Jayadas, T.T.P.; Raveendran, S.; Kumanan, T.; Ramasamy, R.; Arthiyan, S. (Springer Nature, 2022)

  Background Dengue is the major mosquito-borne disease in Sri Lanka. After its first detection in January 2020, COVID-19 has become the major health issue in Sri Lanka. The impact of public health measures, notably ...
• Dengue Incidence and Aedes Vector Collections in Relation to COVID-19 Population Mobility Restrictions 

  Surendran, S.N.; Nagulan, R.; Tharsan, A.; Sivabalakrishnan, K.; Ramasamy, R. (MDPI, 2022)

  Contrary to expectation, dengue incidence decreased in many countries during the period when stringent population movement restrictions were imposed to combat COVID-19. Using a seasonal autoregressive integrated moving ...
• A shophisticated tools for sensityvity Analysis of various types of discrete systems of applied sicences and engineering using finite element techniques 

  Linosh, N.E.; Krishnakumar, S. (Subragamuwa University of Sri Lanka, 2010)

  Discrete Systems are divided into different types based on their characteristics. The spring system has the displacement according to its elasticity and force produced on it. On the other hand the resister system has the ...
• Augmented Reality and its possibilities in Agriculture (In Sri Lankan Context) 

  Musfira, F.A.; Linosh, N.E. (University of Kelaniya, 2016)

  Since Sri Lanka is an agro country, its economy is mostly based on agriculture and agro based industries, animal husbandry and other agriculture based businesses. In Sri Lanka, Agriculture continues to be the major occupation ...
• Predictive modeling for early heart disease detection through machine learning 

  Weerakkodi, S.; Linosh, N.E. (Trincomalee Campus, Eastern University, Sri Lanka, 2024)

  Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality worldwide, underscoring the urgency of its early detection and treatment. According to the latest WHO figures, coronary heart disease accounted ...
• Usage of semi-supervised learning to improve the performance of E-book recommendation systems 

  Priyatharsan, U.; Sarawana, P.H.; Linosh, N.E. (Wayamba University of Sri Lanka, 2018)

  Internet is an important channel for the distribution of digital contents such as E-books, audio, video, images, etc. Searching for E-books represents a difficult task for users. Very large volume of information and user's ...
• A NOVEL FACE RECOGNITION AUTHENTICATION SYSTEM BASED ON ONE-DIMENSIONAL STATISTICS 

  Priyatharsan, U.; Hemija Sarawana, P.; Linosh, N.E. (The International Research & Development Institution (TIRDI), 2021)

  In today's authentication biometric technologies, face recognition is the most popular and widely used technique. It is the most acceptable since it could be used without requiring object coordination. However, during the ...
• A New Method for Authentication Systems Using Face Recognition Based on Feature Extraction 

  Priyatharsan, U.; Hemija Sarawana, P.; Linosh, N.E. (The International Research & Development Institution (TIRDI), No.131/8, Hokandara North, Hokandara. Sri Lanka, 2019)

  Face Recognition is the most common and popular technique in the current authentication bio metric systems. It is the most acceptable because it can be used remotely without the collaboration with object. However, the ...
• A new shrinkage-based estimator for logistic regression under multicollinearity: The James-Stein logistic Liu estimator (JSLLE) 

  Kayathiri, T.; Kayanan, M.; Wijekoon, P. (Young Scientists’ Association, National Institute of Fundamental Studies, Sri Lanka, 2025)

  Logistic regression is a widely used method for analyzing binary outcomes in various fields, including healthcare and finance. The Maximum Likelihood Estimator (MLE) is the standard technique for estimating parameters in ...
• Generalised LARS Framework for Variable Selection in High Dimensional Binary Classification 

  Kayathiri, T.; Kayanan, M.; Wijekoon, P. (PGIS, University of Peradeniya, 2025)

  High-dimensional logistic regression refers to situations where the number of predictor variables exceeds the number of observations in binary classification. This technique is particularly valuable in domains such as ...
• The Modified Logistic Two-Parameter Estimators 

  Kayathiri, T.; Kayanan, M.; Wijekoon, P. (Society of Statistics, Computer and Applications, India, 2025)

  In this article, we proposed a new estimator, termed the Modified Logistic Two Parameter Estimator (MLTPE), and enhanced it by modifying its coefficients, yielding three variants: Modified Logistic Two-Parameter Estimator1 ...
• Solution of Laplace Transform by Modified Differential Transform Method 

  Kularathna, R.S.M.; Kajan, N.; Jeyamugan, T.; Thilaganathan, S. (Science Domain International, 2024-03-29)

  In this paper, we applied the modified two-dimensional differential transform method to solve Laplace equation. Laplace equation is one of Elliptic partial differential equations. These kinds of differential equations have ...
• A Modified Algorithm to Find Longest Common Subsequences and Optimizing Space, Time 

  Thilaganathan, S.; Jeyamugan, T. (Science Domain International, 2024-12-29)

  "In the study of Longest Common Subsequence (LCS) is an important topic and an important component in the application of Computational Mathematics. The LCS problem is to find a subsequence which is common to at least two ...
• Discriminative Patterns of White Matter Changes in Alzheimer's 

  Subaramya, S.; Kumaralingam, L.; Kokul, T.; Pinidiyaarachchi, U.A.J.; Nagulan, R. (Elsevier, 2023-01)

  Changes in structural connectivity of the Alzheimer's brain have not been widely studied utilizing cutting-edge methodologies. This study develops an efficient structural connectome-based convolutional neural network (CNN) ...
• Classification of Vegetable Plant Pests using Deep Transfer Learning 

  Vijayakanthan, G.; Kokul, T.; Pakeerathan, S.; Pinidiyaarachchi, U.A.J. (IEEE, 2021-08)

  Sri Lankan farmers face several issues and among them crop loss due to insect pest infestation is the major hurdle. Several approaches have been proposed to detect the pest class by using computer vision and machine learning ...
• Conparison of the Predictive Performance of LIU-Based Estimators 

  Kayathiri, T.; Kayanan, M.; Wijekoon, P. (PGIS, University of Peradeniya, 2023-11-03)

  "Logistic regression is one of the most widely used statistical methods for predicting a binary outcome by analysing the relationship between one or more existing independent variables. Although the maximum likelihood ...
• Enhancing Predictive Performance of the Logistic Two-Parameter Estimator under Multicollinearity 

  Kayathiri, T.; Kayanan, M.; Wijekoon, P. (Institute of Applied Statistics, Sri Lanka, 2024)

  "This study aimed to propose a new estimator named Modified Logistic Two-Parameter Estimator (MLTPE) with the best predictive performance in logistic regression when multicollinearity exists. The performance of the proposed ...
• Improved LARS Algorithm for Adaptive LASSO in the Linear Regression Model 

  Kayanan, M.; Wijekoon, P. (Asia Pacific Publishers, 2024-06-15)

  The adaptive LASSO method has been employed for reliable variable selection as an alternative to LASSO in linear regression models. This paper introduces an adjusted LARS algorithm that integrates adaptive ...
• Weigh-in-motion using machine learning and telematics 

  Kirushanth, S.; Kabaso, B. (IEEE, 2018-07-24)

  Driving overloaded vehicle causes road infrastructural damages, accidents, air pollution by excessive fuel consumption, and unusual expenses. Measuring the gross weight of a vehicle on a particular road segment without ...

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