Ph.D/Master Thesis & Dissertation: Recent submissions

  • REAL-TIME HUMAN MOTION DETECTION AND ACTIVITY RECOGNITION 
    WIN, SANDAR (University of Computer Studies, Yangon, 2024-06)
    One of the interest areas of computer vision is real-time human motion detection, tracking, and activity recognition. It has many applications in a variety of fields, including video processing, abnormally detection, ...
  • AN EFFECTIVE JOB SCHEDULING ALGORITHM IN HIGH PERFORMANCE COMPUTING 
    KYAW, LETT YI (University of Computer Studies, Yangon, 2024-06)
    The need for efficient resource management in distributed computing systems is greater than ever due to the significant growth of High Performance Computing (HPC) and its predicted future expansion. The increasing volume ...
  • Speech Emotion Classification Using SVM Integrated Efficient DenseNet 
    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 ...
  • A Network Simulator Using Step Execution Function 
    CHERRY, HNIN (University of Computer Studies, Yangon, 2024-06)
    The development of networking abilities is essential for people in the current digital era. However, knowledge of network communication, packet sending and receiving between devices, device statuses, and network configuration ...
  • BIDIRECTIONAL LONG SHORT-TERM MEMORY RECURRENT NEURAL NETWORK BASED MYANMAR DIALOGUE ACT RECOGNITION 
    YEE, SANN SU SU (University of Computer Studies, Yangon, 2024-06)
    This research aims to develop the deep learning-based Myanmar Dialogue Act Recognition (MDAR) system to enhance Myanmar Dialogue Systems. Dialogue Act (DA) recognition is a foundational aspect of dialogue understanding, ...
  • FEATURE EXTRACTION AND TRACKING SYSTEM FOR TROPICAL CYCLONES 
    HSAN, THU ZAR (University of Computer Studies, Yangon, 2024-06)
    There are numerous sub-continents in the world where cyclones yearly hit a certain region. Since cyclones directly affect people's lives and homes, their prediction is crucial to preventing the loss of life and property. ...
  • BURMESE (MYANMAR) – ENGLISH NAMED ENTITY TRANSLITERATION 
    MON, AYE MYAT (University of Computer Studies, Yangon, 2024-06)
    This system presents a novel approach to Burmese (Myanmar) -English Named Entity Transliteration System leveraging Transformer models, focusing on character, sub- syllable, and syllable segmentation based on a meticulously ...
  • FAKE NEWS DETECTION SYSTEM BASED ON PROBABILISTIC SENTIMENT SCORE AND SENTENCE EMBEDDING 
    HLAING, MAY ME ME (University of Computer Studies, Yangon, 2024-06)
    Analyzing of news truthfulness is a challenging problem in today’s era because there is a massive information on the social networking sites (SNS) which turns out to be very difficult to manually analyze. Moreover, the ...
  • AN UPGCHI FEATURE SELECTION METHOD FOR MULTICLASS MICROARRAY DATA WITH APACHE SPARK FRAMEWORK 
    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 ...
  • IMPLEMENTATION OF FIREWALL RULES FOR INTRUSION DETECTION SYSTEM 
    YI, HTAY HTAY (University of Computer Studies, Yangon, 2024-06)
    Network security plays a pivotal role in safeguarding sensitive data from unauthorized access and malicious activities. This work addresses the challenge by proposing a Selected Features Based Intrusion Detection System ...
  • MYANMAR-WA MACHINE TRANSLATION BASED ON TRANSFER LEARNING 
    Yune, Florance (University of Computer Studies, Yangon, 2024-06)
    Artificial Intelligence (AI) is rapidly changing the world, affecting every aspect of human daily lives. Natural Language Processing (NLP) is itself a broad field that lies under AI. NLP depends upon linguistics and is ...
  • INTELLIGENT COMPUTING ON COMPLEX NUMBERS FOR CRYPTOGRAPHIC APPLICATIONS 
    Hla, Ni Ni (University of Computer Studies, Yangon, 2024-05)
    This research makes an effort to examine the mathematical characteristics of the typical attacks on both traditional and modern ciphers, including the Hill cipher and the elliptic curve cryptosystem. Known-plaintext ...
  • 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 ...
  • CLASSIFICATION OF BANK MARKETING DATA USING SUPPORT VECTOR MACHINE 
    Khin, Ei Ei (University of Computer Studies, Yangon, 2023-05)
    Nowadays, banking system plays an important role of financial sectors all over the world. The more accurate predictive modeling system is required for their services or products in the banking industry. Bank workers ...
  • 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. ...
  • 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 ...

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