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Faculty of Technological Studies: Recent submissions

  • Predicting ratings of YouTube videos based on the user comments 
    Sivakumar, Pirunthavi; Ekanayake, Jayalath (Faculty of Applied Science, University of Vavuniya, Sri Lanka, 15-09-21)
    This project attempted to develop a model to predict the rating of a YouTube video based on the user comments. We extracted the user comments from many YouTube videos to make the sentimental analysis. The keywords were ...
  • Movie Success and Rating Prediction Using Data Mining Algorithms 
    Pirunthavi, S.; Vithusia, R.P.; Abishankar, K.; Ekanayake, E.M.U.W.J.B.; Yanusha, M. (Uva Wellassa University of Sri Lanka, 30-07-20)
    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 ...
  • 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 ...
  • Ontology Based Machine Learning Approach to Automatic Labelling for Research Papers on Wildlife of Sri Lanka 
    Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (University of Kelaniya, 28-11-20)
    Sri Lanka, being a global biodiversity hotspot, places great emphasis on biodiversity from an ecological perspective, socio-economic, and cultural factors. However, the wildlife of Sri Lanka is critically threatened due ...
  • Automatic Labelling & Classification for Research Papers of Wildlife in Sri Lanka 
    Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (FACULTY OF INFORMATION TECHNOLOGY, UNIVERSITY OF MORATUWA, SRI LANKA, 03-12-20)
    Sri Lanka, is one of the global biodiversity hotspots, which contains a larger variety of fauna and flora. But nowadays Sri Lankan wildlife faced many issues because of poor management and policies to protect wildlife. The ...
  • “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 ...
  • 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 ...
  • 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 ...
  • A Data Mining and Ontology-Based Approach for Predicting the Research Ideas in the Wildlife Sector of Sri Lanka 
    Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (IIT Ropar, 28-11-20)
    Sri Lanka, is the global biodiversity hotspot, which contains a wide variety of fauna & flora. Also, wildlife is the key player in the tourism industry of Sri Lanka. But still, Sri Lankan wildlife faced many conflicts to ...
  • Automatic Segmentation of Lung Nodule From CT Images Using Fuzzy C-Means Clustering Algorithm and Active Contour Model 
    Rajeetha, T.; Venuja, N. (Sabaragamuwa University of Srilanka, 24-02-21)
    Lung nodule segmentation is an important part in computer-aided diagnosis (CAD) system for lung cancer detection and diagnosis. The key issue in CAD of lung nodule is to correct and accelerate rapid segmentation of diseased ...
  • 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 ...
  • 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 ...
  • Keypoints and Codewords Selection for Efficient Bag-of-Features Representation 
    Vinoharan, V.; Ramanan, Amirthalingam (Springer, 05-04-18)
    Bag-of-features (BoF) representation is one of the most popular image representations, that is used in visual object classification, owing to its simplicity and good performance. However, the BoF representation always faces ...
  • Are Large Scale Training Images or Discriminative Features Important for Codebook Construction? 
    Vinoharan, V.; Ramanan, Amirthalingam (SCITEPRESS, 24-02-16)
    Advances in machine learning and image feature representations have led to great progress in pattern recognition approaches in recognising up to 1000 visual object categories. However, the human brain solves this problem ...
  • A Wheel-based Side-view Car Detection using Snake Algorithm 
    Vinoharan, V.; Ramanan, Amirthalingam; Kodituwakku, Saluka R. (IEEE, 27-09-12)
    Car detection is a challenging research area where the appearance has various changes due to different models, poses, scales, lighting conditions, background, occlusion and various image sizes. Amidst these external ...
  • 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 ...
  • Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels Using Machine Learning 
    Krishnananthan, S.; Puvanendran, S.; Rukshani, P. (Springer, 26-10-21)
    This study focuses on the prediction of the Diabetic Patients through the sugar levels. The Dataset is analyzed using the data mining techniques such as feature extraction, associate rule mining and classification. The ...
  • Usability and Accessibility Analysis of Online Banking Systems in Sri Lanka 
    Yanusha, M.; Kartheeswaran, T.; Lojenaa, N. (IEEE, 13-12-18)
    With the wide expansion of internet usage in Sri Lanka, e-banking is bucking the trend amongst the banking sectors and the customers. Since the online banking systems are the critical source of information for all kind of ...
  • 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. ...
  • Visual Speech recognition for Sinhala language using CNN 
    Jayarathne, W.M.U.; Perera, W.A.S.C.; Ketheesan, T. (Faculty of Science, University of Ruhuna, 17-02-21)
    Visual Speech Recognition (VSR) is an essential tool that is facilitating to understand the speech from the video by the visually impaired people. Moreover, VSR play an important role in analyzing the CCTV footage for a ...

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