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Browsing Ph.D Dissertation by Title

Browsing Ph.D Dissertation by Title

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  • QOE ASSESSMENT AND CONTROL IN NETWORKED HAPTIC GAMES 
    OO, MAY ZIN (University of Computer Studies, Yangon, 2023-01)
    In recent years, with the advancement of high speed communication networks, multimedia applications which consists of a collection of multiple media such as text, graphics, images, sound, and video became popular. Due ...
  • QoS-based Traffic Engineering in Software Defined Networking 
    Thazin, Nwe (Unversity of Computer Studies, Yangon, 2019-11)
    Quality of Service (QoS) is the overall performance of a computer network, particularly the performance seen by the users of the network. By managing the delay, bandwidth, and packet loss parameters, it allows us to ...
  • SENTIMENT ANALYSIS OF MYANMAR NEWS AND COMMENTS USING SUPPORT VECTOR MACHINE 
    Yu, Thein (University of Computer Studies, Yangon, 2023-04)
    As the development of internet technology is raising, the volume of information used for the internet users also increase in the web. Users can apply that information and give opinions for decision making system. ...
  • Sentiment Analysis System in Big Data Environment 
    Chan, Wint Nyein (University of Computer Studies, Yangon, 2019-01)
    Nowadays, Big Data, a large volume of both structured and unstructured data, is generated from Social Media. Social Media are powerful marketing tools and Social Big Data can offer the business insights. The major challenge ...
  • Syllable-based Neural Machine Translation System for Myanmar-English Language Pair 
    Sin, Yi Mon Shwe (University of Computer Studies, Yangon, 2019-10)
    Without doubt, Internet has made for people to communicate easily with others because it is cheap and convenient. Besides, today's world has a growing demand for immediate and accurate information. However, language ...
  • Syllable-Based Neural Named Entity Recognition for Myanmar Language 
    Mo, Hsu Myat (University of Computer Studies, Yangon, 2019-08)
    More and more information is being created at online every day, and a lot of it is the natural language. Until recently, businesses have been unable to analyze this data. But advances in Natural Language Processing (NLP) ...
  • Unsupervised Dependency Parsing for Myanmar Language 
    Aye, Hnin Thu Zar (University of Computer Studies, Yangon, 2020-12)
    Parsing natural language is an important intermediate step for natural language processing field of any language and any natural language applications such as machine translation, information extraction, text analytics, ...

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