Browsing Department of Physical Science by Title

Browsing Department of Physical Science by Title

Sort by: Order: Results:

  • Abnormalities of cortical thickness, subcortical shapes, and white matter integrity in subcortical vascular cognitive impairment. 
    Thong, Jamie Yu Jin; Du, Jia; Nagulan, R.; Dong, Yanhong; Soon, Hock Wei; Saini, Monica; Tan, Ming Zhen; Ta, Anh Tuan; Chen, Christopher; Qiu, A (Wiley Online Library/Human Brain Mapping, 2014-05)
    Subcortical vascular cognitive impairment (sVCI) is caused by lacunar infarcts or extensive and/or diffuse lesions in the white matter that may disrupt the white matter circuitry connecting cortical and subcortical regions ...
  • Adaptation of brain functional and structural networks in aging 
    Lee, A.; Nagulan, R.; Tuan, T.A.; Chen, S.H.; Qiu, A. (Public Library of Science/PLOS ONE, 15-04-15)
    The human brain, especially the prefrontal cortex (PFC), is functionally and anatomically reorganized in order to adapt to neuronal challenges in aging. This study employed structural MRI, resting-state fMRI (rs-fMRI), and ...
  • Algorithm aspects of Rubik’s Cube 3D game 
    Subaramya, V.; Krishnakumar, K. (The Open University of Sri Lanka, 28-11-13)
    The Rubik's Cube is really captivating and fascinating puzzle. It is a 3D game. In the literary survey, there are several applications available in Rubik’s cube. Some of them are games, some of them have solution. But there ...
  • Awareness of Banned Pesticide usage among Vegetable Grower’s and Health impacts in the Vavuniya District 
    Vijitharan, S.; Loganathan, P. (Faculty of Agriculture, University of Jaffna, Sri Lanka., 15-10-15)
    Pesticides kill or deter the destructive activity of the target organism and they posses’ inherent toxicities that endanger the health of the farmers, consumers and the environment. The objectives of this study were to ...
  • Classification of Vegetable Plant Pests using Deep Transfer Learning 
    Vijayakanthan, G.; Kokul, T.; Pakeerathan, S.; Pinidiyaarachchi, U.A.J. (IEEE, 2025)
    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 ...
  • A Combined Error Control with Forward Euler Method for Dynamical Systems 
    Vigneswaran, R.; Thilaganathan, S. (World Academy of Science, Engineering and Technology, 2016-05-12)
    Variable time-stepping algorithms for solving dynamical systems performed poorly for long time computations which pass close to a fixed point. To overcome this difficulty, several authors considered phase space error ...
  • Combining Lasso and Liu type estimator in the linear regression model 
    Kayanan, M.; Wijekoon, P. (International Statistical Institute, 21-08-19)
    The Ordinary Least Square Estimator (OLSE) has been widely used to estimate unknown parameters in the linear regression model. Since OLSE produces high variance on the estimates when multicollinearity exists among the ...
  • Comparison between r-d and r-k class estimators in Misspecified linear regression model 
    Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 08-09-17)
    A significance attention has been paid by researchers about misspecification due to excluding some relevant explanatory variables and multicollinearity among the explanatory variables in linear regression model. Several ...
  • Comparison of single-line rate for dedicated protection on WDM optical network topologies 
    Suthaharan, S; Samarakkody, D; Perera, W.A.S.C. (IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2016)
    Wavelength division multiplexing (WDM) divides the huge bandwidth available on a fiber into several non-overlapping wavelength channels and enables data transmission over these channels simultaneously. Failure of the optical ...
  • COMPARISON OF THE PREDICTIVE PERFORMANCE OF LIU-BASED ESTIMATORS. PGIS Research Congress 2023, PGIS, University of Peradeniya, Sri Lanka 
    Kayathiri, T.; Kayanan, M.; Wijekoon, P. (PGIS, University of Peradeniya, 2023)
    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 ...
  • A Comprehensive Study on Deep Image Classification with Small Datasets 
    Gayani, C.; Kokul, T.; Amalka, P. (Springer, 17-12-19)
    Convolutional Neural Networks (CNNs) showed state-of-the-art accuracyin image classification on large-scale image datasets. However, CNNs showconsiderable poor performance in classifying tiny data since their large number ...
  • Consumer Awareness For Identification Of Pesticide Contamination In Leafy Vegetables 
    Loganathan, P.; Vijitharan, S. (Postgraduate of Institute of Science, University of Peradeniya, 06-08-16)
    Consumer awareness is the best way to reduce pesticide related health effects. Many vegetables in the market are contaminated with agrochemicals. Therefore, the present study was designed to investigate the importance of ...
  • Deep Match Tracker Classifying when Dissimilar, Similarity Matching when Not 
    Kokul, T.; Fookes, C.; Sridharan, S.; Ramanan, A.; Pinidiyaarachchi, U.A.J. (IEEE, IEEE International Conference on Image Processing (ICIP)., 07-10-18)
    Visual tracking frameworks employing ConvolutionalNeural Networks (CNNs) have shown state-of-the-art performancedue to their hierarchical feature representation. Whileclassification and update based deep neural net tracking ...
  • Dengue Outbreaks in Vavuniya District, Sri Lanka 
    Vijitharan, S.; Nanthakumaran, A.; Gunatilake, J. (Postgraduate Institute of Science, University of Peradeniya, 10-09-19)
    In Sri Lanka, Aedesaegypti and Aedesalbopictus are reported to be the vectors transmitting dengue fever to human. Socio-economic conditions of the community contribute to mosquito breeding either directly or indirectly. ...
  • Developmental synchrony of thalamocortical circuits in the neonatal brain. 
    Poh, J.S.; Li, Y.; Nagulan, R.; Fortier, M.V.; Chong, Y.S.; Kwek, K.; Saw, Seang-Mei; Gluckman, P.D.; Meaney, M.J.; Qiu, A. (ElSEVIER/NeuroImage, 01-08-15)
    The thalamus is a deep gray matter structure and consists of axonal fibers projecting to the entire cortex, which provide the anatomical support for its sensorimotor and higher-level cognitive functions. There is limited ...
  • A Digital Green Banking Framework A Background Analysis for Fingerprint Approaches 
    Lojenaa, N.; Nawarathna, Ruwan D.; Suthaharan, S. (IRCICT 2018, Edhat International Ltd, 23-11-18)
    The fundamental activity of a bank is money related transactions. To perform such transactions, the banking service providers expect a valid and accurate signature from the customer to ensure correct identification and ...
  • Efficient Switch Architectures for Pre-configured Backup Protection with Sharing in Elastic Optical Networks 
    Suthaharan, S; Ratnam, K; Ragel, R.G (IEEE 7th International Conference on Information and Automation for Sustainability (ICIAfS'14), 2014)
    In this paper, we address the problem of providing survivability in elastic optical networks (EONs). EONs use fine granular frequency slots or flexible grids, when compared to the conventional fixed grid networks and ...
  • Electricity Usage Monitoring and Alerting System 
    Amrithaa, P.; Shorubiga, P.; Thanoojan, T.; Kartheeswaran, T. (IEEE, 03-12-20)
    Electricity is one of the inevitable sources of energy in our day to day life. Almost every single device we use from the moment we wake up until going to bed is electrically powered. Meanwhile, there is always a problem ...
  • Enhanced Symmetric Cryptography for IoT using Novel Random Secret Key Approach 
    Gopinath, S.; Nagulan, R. (IEEE, 2020-12-10)
    The deployment of IoT devices in different domains enables technical innovations and value-added services to users but also creates multiple requirements in terms of effective communication and security. IoT devices are ...
  • 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 ...

Search


Browse

My Account