Browsing by Document type "Journal Article"

Browsing by Document type "Journal Article"

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  • 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 ...
  • 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 ...
  • Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic 
    Sivakumara, Pirunthavi; Wijikumar, Kularasasingam (Sri Jayawardenapura University of Sri Lanka, 07-05-22)
    This study aimsto identify the impact of digital learningin Sri Lankanstate universities and thecontribution of ICT tothe implementation of digital learningduring theCovid-19pandemic. This study also aimsto investigate ...
  • 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 ...
  • 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, S.M.; 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 ...
  • E-Sign Detector: Image Steganography-Based Employee Identification System 
    Senthooran, V.; Chathuranga, M. T.; Kartheeswaran, T. (IUP Publications, 01-06-16)
    This paper aims to develop a desktop application system called E-Sign detector using image steganography. It targets to fulfill the requirements of small and medium size companies to identify their employers through a ...
  • An Efficient Bag-of-Feature Representation for Object Classification 
    Vinoharan, V.; Ramanan, A. (ELCVIA, 16-12-21)
    The Bag-of-features (BoF) approach has proved to yield better performance in a patch- based object classification system owing to its simplicity. However, often the very large number of patch-based descriptors (such as ...
  • Efficient Switch Architectures for Pre-configured Backup Protection with Sharing in Elastic Optical Networks 
    Suthaharan, S. 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 ...
  • Evaluation of blocking constraints for survivable WDM optical networks 
    Suthaharan, S. S.; Sharfana, F A; Thiruvanantharajah, S (IEEE International Conference on Industrial and Information Systems (ICIIS), 2017)
    The advantage of a huge amount of data transmission in form of multimedia broadband services can be benefited using a technique called wavelength division multiplexing (WDM) technology. In WDM, the huge amount of bandwidth ...
  • An Experimental Investigation of Statistical Model based Secure Steganography for JPEG Images 
    Senthooran, V.; Ranathunga, L. (Indian Society for Education and Environment, 01-07-17)
    Objectives: This paper intends to propose a secure steganography approach in JPEG compressed domain by providing more possibilities to analyzing the DCT coefficients in lower frequency area by modifying the primary ...
  • Fraud Detection Mechanism Using Machine Learning 
    Lojenaa, N.; Nawarathna, R.D. (Rajarata University of Sri Lanka, 30-06-20)
    Banks provide their services to make money transactions and other money-based banking activities. The basic concept of the bank is the transaction of money; it can be either manual or digital through multiple channels. ...
  • Gate connected convolutional neural network for object tracking 
    Kokul, T.; Fookes, C.; Sridharan, C.; Ramanan, A.; Pinidiyaarachchi, U.A.J. (IEEE, IEEE International Conference on Image Processing (ICIP), 17-09-17)
    Convolutional neural networks (CNNs) have been employedin visual tracking due to their rich levels of feature representation.While the learning capability of a CNN increaseswith its depth, unfortunately spatial information ...
  • A Low-Cost Contactless Palm Print Device to Recognize Person based on Texture Measurement 
    Sharad, B.J.; Raut, S.D.; Humbe, V.T.; Kartheeswaran, T. (IJETSR, International Journal of Engineering Technology Science and Research, 10-02-16)
    Today’s Information Technology grows rapidly withnew technologies and need more security for the data transmissionover the internet. Steganography is one of the solutions to ensurethe data secure over the internet. An audio ...
  • Multi Agent Based Audio Steganography 
    Kartheeswaran, T.; Senthooran, V.; Pemadasa, T. D. D. L. (IEEE, 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 21-03-16)
    Today’s Information Technology grows rapidly with new technologies and need more security for the data transmissionover the internet. Steganography is one of the solutions to ensurethe data secure over the internet. An ...
  • Multi-Label Segmentation White Matter Structures: Application to Neonatal Brains. 
    Nagulan, R.; Qiu, A. (ElSEVIER/NeuroImage, 15-11-14)
    Accurate and consistent segmentation of brain white matter bundles at neonatal stage plays an important role in understanding brain development and detecting white matter abnormalities for the prediction of psychiatric ...
  • Naive Bayes Algorithm for Large Scale Text Classfication 
    Sivakumar, Pirunthavi; Ekanayake, Jayalath (Popular Science Press, 31-12-21)
    This paper proposed an improved Naïve Bayes Classifier for sentimental analysis from a large-scale dataset such as in YouTube. YouTube contains large unstructured and unorganized comments and reactions, which carry important ...
  • Neuroimaging assessment of spasticity developed after acquired brain injuries and multiple sclerosis 
    Bertoni, M.A.; Sakel, M.; Hojjattoleslami, A.; Bertoni, I.V.; Nagulan, R. (Centauro/ Neuroradiology Journal, 2012-07)
    This study evaluated whether different imaging techniques correlate with specific variables routinely used to grade the types and complexities of patient conditions in neurorehabilitation services and their clinical outcomes, ...
  • A Novel Routing Scheme Based on Protection Mechanism to Discover Unconventional Disjoint Path in Adhoc Wireless Networks 
    Suthaharan, S. S. (International Journal of Computational Intelligence and Informatics (IJCII), 2013)
    The performances of the routing protocols are important since they compute the primary path between source and destination. In addition, routing protocols need to detect failure within a short period of time when nodes ...
  • A Novel White Matter Fibre Tracking Algorithm using Probabilistic Tractography and Average Curves 
    Nagulan, R.; Andrew, S.; Oleg, D.; Ali, H. (Springer Berlin/Heidelberg MICCAI, 2010)
    This paper presents a novel white matter fibretractography approach using average curves of probabilistic fibre tracking measures. We compute”representative” curves from the original probabilistic curve-set using two ...
  • One-pass Keypoint Selection to Construct Codebook for Patch-based Object Classification 
    Vinoharan, V.; Ramanan, Amirthalingam (IEEE, 21-12-18)
    In a patch-based object classification system, one of the most popular image representation approach is the bag-of-features (BoF) representation. However, the number of patch-based features extracted from images to create ...