• DATA SCRUTINY FOR NEURAL NETWORK-BASED BURMESE SPEAKER IDENTIFICATION 

  Phyu, Win Lai Lai (University of Computer Studies, Yangon, 2024-03)

  This dissertation aims to investigate the data augmenting and scrutinizing methods in developing a speech dataset for text independent Burmese speaker identification in open-set case which means the test speaker may ...
• MYANMAR TEXT TO IMAGE SYNTHESIS USING GENERATIVE ADVERSARIAL NETWORKS 

  Htwe, Nang Kham (University of Computer Studies, Yangon, 2024-03)

  The goal of text-to-image synthesis is to automatically create an image that corresponds to a given text description. It is the process of training a computer model to understand natural language and translate it into ...
• Overlapping Community Detection in Social Networks by Local Expansion 

  Win, Eaint Mon (University of Computer Studies, Yangon, 2023-09)

  Community structure is one of the main structural features of networks and detecting overlapped community structure is an important field in social network analysis. There are many methods for finding non-overlapping ...
• OPINION MINING SYSTEM OF CUSTOMER REVIEWS BY USING FEATURE EXTRACTION 

  LWIN, NANDAR MOH MOH (University of Computer Studies, Yangon, 2023-07)

  Due to the dramatic improvement of ecommerce, web sources which are important for both potential customers and service providers rapidly emerge in prediction and decision purposes. Opinion mining techniques become popular ...
• THE CAR INSURANCE CLAIM PREDICTION SYSTEM BY USING MACHINE LEARNING ALGORITHMS ON APACHE SPARK PLATFORM 

  Ko, Thein Than (University of Computer Studies, Yangon, 2023-05)

  Car insurance companies face a major challenge in dealing with insurance claims, which are prone to fraud and increasing in volume. This makes it difficult for insurers to classify claims during the review process. To ...

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