Browsing Faculty of Technological Studies by Document type "Article"

Browsing Faculty of Technological Studies by Document type "Article"

Sort by: Order: Results:

  • Artificial Neural Network Analysis in Finance: Evidence using a Literature Review 
    Kethmi, G.A.P.; Perera, W.A.S.C. (MAT Journals, 01-12-21)
    Machine language is a sequence of algorithm assign to do a particular task. Neural Networking is inspired by the operation of neurons in the human brain and machine language made possible to use neural networking in data ...
  • 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 ...
  • 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, Veerapathirapillai; 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 ...
  • 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. ...
  • Movie Success and Rating Prediction Using Data Mining Algorithms 
    Sivakumar, Pirunthavi; Rajeswaren, Vithusia Puvaneswaren; Abishankar, Kamalanathan; Ekanayake, E.M.U.W.J.B.; Mehendran, Yanusha (Faculty of Management and Commerce South Eastern University of Sri Lanka, 29-12-20)
    This project developed the models to predict the success and the ratings of a new movie before its release. Since the success of a movie is highly influenced by the actor, actress, director, music director and production ...
  • 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 ...
  • One-pass Keypoint Selection to Construct Codebook for Patch-based Object Classification 
    Vinoharan, Veerapathirapillai; 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 ...
  • Predicting an Optimal Sri Lankan Cricket Team for ODI Matches According to the Nature of the Game 
    Perera, W.A.S.C.; Caldera, H.A. (Psychosocial, 01-02-20)
    This paper focuses on predicting an optimal Sri Lankan cricket team for One Day International (ODI) matches according to the nature of the game. In general, the team selection process in ODI is based on performance measures ...
  • “Predicting the Future Research Gaps Using Hybrid Approach: Machine Learning and Ontology 
    Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (Barbara Jane Holland (Brooklyn Public Library, USA (retired) & Independent Researcher, USA), 31-05-21)
    Sri Lanka is one of the global biodiversity hotspots that contain a large variety of fauna and flora. But nowadays Sri Lankan wildlife has faced many issues because of poor management and policies to protect wildlife. The ...
  • Sentiment Analysis of Code-Mixed Text: A Comprehensive Review 
    Perera, A.; Caldera, A. (JUCS, 2024-02-28)
    Sentiment Analysis is the task of identifying and extracting the opinion expressed in a text to determine the writer's perception of an entity. Due to globalization, people often mix two or more languages and use phonetic ...

Search


Browse

My Account