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Browsing Conference Papers 2021 by Title

Browsing Conference Papers 2021 by Title

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  • AdaptText: A Novel Framework for Domain-Independent Automated Sinhala Text Classification 
    Kodithuwakku, Yathindra; Hettiarachchi, Saman (IEEE, 2021)
    Sinhala language is being the widely used language in Sri Lanka. With the advancement of internet usage in Sri Lanka, an incredible amount of Sinhala text data is being added to the internet. In order to manage, analyze ...
  • An Analysis of Face Recognition under Face Mask Occlusions 
    Hemathilaka, S; Aponso, A (Academy and Industry Research Collaboration Center (AIRCC), 2021)
    The face mask is an essential sanitaryware in daily lives growing during the pandemic period and is a big threat to current face recognition systems. The masks destroy a lot of details in a large area of face and it makes ...
  • Automated graph representation learning: a survey 
    Madurapperuma, S; Welihindha, S (IEEE, 2021)
    Research on Graph Representation Learning has seen many innovations in the recent years given the close resemblance of real-world data to graphs and its already wide usage. Graph data are considerably more difficult to ...
  • Automating Generative Adversarial Networks using Neural Architecture Search: A Review 
    Ganepola, V V V; Wirasingha, T (2021)
    Semantic image segmentation is a crucial task in various fields that use computer-vision based applications. Generative Adversarial Networks (GANs) are attracting widespread interest in the data science community for their ...
  • DERAINIZER for Unpaired Single Image De-raining 
    Fernando, H; Ayoob, M; Poravi, Guhanathan (IEEE, 2021)
    Rain streaks are known to cause many performance or accuracy reductions in many computer vision systems. The problem of obstructing rain streaks is addressed within the domain of “De-raining”. De-raining is the process of ...
  • Impact on JPEG Image Steganalysis using Transfer Learning 
    Padmasiri, Avishka Thushan; Hettiarachchi, Saman (IEEE, 2021)
    Image steganography is a convenient candidate for information hiding with the upsurge of using images on social media platforms and the internet. It is equally important that detecting these images through steganalysis so ...
  • Neural Architecture Search for Generative Adversarial Networks: A Review 
    Buthgamumudalige, Vinula Uthsara; Wirasingha, Torin (IEEE, 2021)
    Achieving competent image generation results in Generative Adversarial Networks (GANs) has been observed to be weighed down by barriers such as mode collapse and being error-prone, due to the time consumption, effort and ...
  • Optimized Duplicate Question Detection in Programming Community Q&A Platforms using Semantic Hashing 
    Koswatte, Dehami Deshan; Hettiarachchi, Saman (IEEE, 2021)
    Duplicate Question Detection (DQD) in Programming Community Question & Answer (PCQA) platforms has been a highly prominent area of research in the recent past. A lot of studies use Semantic Text Similarity (STS) as a key ...
  • A Review on Edge Intelligence based Collaborative Learning Approaches 
    Welagedara, L; Harischandra, J; Jayawardene, N (IEEE, 2021)
    Edge Intelligence (EI) based collaborative learning approaches have been researched in the recent years by several researchers. As majority of existing collaborative learning approaches are designed in the context of ...

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