Browsing Research Papers by Document type "Conference full paper"

Browsing Research Papers by Document type "Conference full paper"

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  • 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 ...
  • Assist System for Visually Impaired People to Recognize Pure Colours 
    Perera, M.D.C.; Amjath, M.I.M.; Heenkenda, H.M.S.C.R.; Senthooran, V. (TRInCo-2017, 2017)
    Visually impaired individuals are growing segment in this era. Developing tools for visually impaired people is not a recently emerged problem. But developing computer aided tools are still developing area for visually ...
  • 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 ...
  • 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 ...
  • Classification of Sri Lankan Skin Diseases Using Ensemble Deep Learning Models 
    Thapalingasivam, K.; Vinoharan, V.; Sivanesan, P. (IEEE, 2024-12-05)
    Skin disease detection is a critical component of dermatological healthcare, traditionally dependent on dermatologists’ expertise for accurate diagnosis. However, manual diagnosis can be time-consuming and prone to errors, ...
  • Cluster Based Multi Agent System for Breadth First Search 
    Vigneshwaran, P.; Senthooran, V. (IEEE, 2020)
    Tree searching problems plays vital role in artificial intelligence and the most of the tree search algorithms have been implemented using structured or object oriented programming. The sequential breadth first search ...
  • Comparison of Single-Line Rate for Dedicated Protection on WDM Optical Network Topologies 
    Suthaharan, S.; Danusha, S.; Perera, W. A. S. C. (IEEE, 01-12-16)
    Wavelength division multiplexing (WDM) divides the huge bandwidth available on a fiber into several nonoverlapping wavelength channels and enables data transmission over these channels simultaneously. Failure of the optical ...
  • 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 ...
  • DCT coefficient dependent quantization table modification steganographic algorithm 
    Senthooran, V.; Ranathunga, L. (IEEE, 2014-08-19)
    In frequency domain based image steganographic methods, especially Discrete Cosine Transformation (DCT), the selection of rounded quantized DCT coefficients in each block for data embedding is still an open issue. This ...
  • Extraction of Sentiments in Tamil Sentences Using Deep Learning 
    Loganathan, H.; Sakuntharaj, R. (2022 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2022)
    Sentiment analysis is the process of extracting information from the given text in which the text consists of various sensations such as happiness, perturbation, pride, worry, and so on about various functions, human beings, ...
  • 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 ...
  • 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 ...
  • Multi Agent Based Audio Steganography 
    Kartheeswaran, T.; Senthooran, V.; Pemadasa, T. D. D. L. (IEEE, 2015-12-10)
    Today's Information Technology grows rapidly with new technologies and need more security for the data transmission over the internet. Steganography is one of the solutions to ensure the data secure over the internet. An ...
  • 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 ...
  • 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 ...
  • Overview of Second Shared Task on Sentiment Analysis in Code-mixed Tamil and Tulu 
    Sambath Kumar, L.; Hegde, A.; Chakravarthi, B.R.; Shashirekha, H.; Natarajan, R.; Thavareesan, S.; Sakuntharaj, R.; Durairaj, T.; Kumaresan, P.K.; Rajkumar, C. (Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, 2024-03-22)
    Sentiment Analysis (SA) in Dravidian codemixed text is a hot research area right now. In this regard, the “Second Shared Task on SA in Code-mixed Tamil and Tulu” at Dravidian- LangTech (EACL-2024) is organized. Two tasks ...
  • Overview of the HASOC-DravidianCodeMix Shared Task on Offensive Language Detection in Tamil and Malayalam. 
    Chakravarthi, B.R.; Kumaresan, P.K.; Sakuntharaj, R.; Madasamy, A.K.; Thavareesan, S.; Premjith, B.; Sreelakshmi, K.; Navaneethakrishnan, S.C.; McCrae, J.P.; Mandl, T. (CEUR Workshop Proceedings, 2021-12-17)
    Wepresent the results of HASOC-Dravidian-CodeMix shared task1 held at FIRE 2021, a track on offensive language identification for Dravidian languages in Code-Mixed Text in this paper. This paper will detail the task, its ...
  • Overview of the Shared Task on Sentiment Analysis in Tamil and Tulu 
    Durairaj, T.; Chakravarthi, B.R.; Hegde, A.; Shashirekha, H.L.; Natarajan, R.; Thavareesan, S.; Sakuntharaj, R.; Krishnakumari, K.; Rajkumar, C.; Shetty, P.; Kumar, H.S. (Association for Computational Linguistics, 2025-05-03)
    Sentiment analysis is an essential task for interpreting subjective opinions and emotions in textual data, with significant implications across commercial and societal applications. This paper provides an overview of the ...
  • Overview on Political Multiclass Sentiment Analysis of Tamil X (Twitter) Comments: DravidianLangTech@NAACL 2025 
    Chakravarthi, B.R.; Rajiakodi, S.; Durairaj, T.; Thangasamy, S.; Sakuntharaj, P.; Kumaresan, P.K.; Ponnusamy, K.K.; Karunanidhi, A.P. (Association for Computational Linguistics, 2025-05-03)
    Political multiclass detection is the task of identifying the predefined seven political classes. In this paper, we report an overview of the findings on the “Political Multiclass Sentiment Analysis of Tamil X(Twitter) ...
  • 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 ...

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