• 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 ...
• Secure Authentication Mechanism for Resistance to Password Attacks 

  Senthooran, V.; Subangan, S. (IEEE, 2019-09-03)

  Authentication is a process that provides access control of any type of computing applications by inspecting the user’s identification with the database of authorized users. Passwords play the vital role in authentication ...
• Investigation of the Effectiveness of Goal Programming in Project Management Activities 

  Senthooran, V.; Niroshi, P. (University of Colombo, 2024-01-25)

  The regulation of objectives that are inconsistent with the use of all related resources through the organization is the principal project management (PM) work. In present situations, the project manager is responsible for ...
• 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 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 ...
• An Ontology based Data Mining approach for predicting the research ideas using past research in the wildlife sector of Sri Lanka 

  Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (General Sir John Kotelawala Defence University, 16-10-20)

  Sri Lanka being a global biodiversity hotspot, places great value for biodiversity owing to ecological, socio-economic, and cultural factors. However, the wildlife of Sri Lanka is critically threatened due to several ...
• 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 ...
• 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 ...
• 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 ...
• Automatic Segmentation of Lung Nodule From CT Images Using Fuzzy C-Means Clustering Algorithm and Active Contour Model 

  Rajeetha, T.; Venuja, S. (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, 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 ...
• 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 ...
• Keypoints and Codewords Selection for Efficient Bag-of-Features Representation 

  Vinoharan, Veerapathirapillai; 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, Veerapathirapillai; 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 ...

View more