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Browsing Ph.D Dissertation by Title

Browsing Ph.D Dissertation by Title

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  • 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. ...
  • 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 ...
  • Mar, Lwin Lwin (University of Computer Studies, Yangon, 2024-06)
    Machines are created to have the ability of human nowadays. Machines can make learning, perceiving with intelligence of humans. Emotions can be known by also expression of faces and gestures. Speech emotion recognition ...
  • 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 ...
  • 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) ...
  • 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, ...
  • THANK, LWIN MAY (University of Computer Studies, Yangon, 2024-06)
    Thousands of gene expressions can be monitored using microarray technology in a variety of biological circumstances. Microarray data has the number of features is very large with respect to their samples and also has the ...

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