• An Analytical System for Lifelong Learning Achievements: Integrating EDP-Means Clustering and Edu-ETL Processes 

  Mhon, Gant Gaw Wutt (University of Computer Studies, Yangon, 2024-06)

  In the field of education, analyzing academic performance is vital for understanding student learning behaviors, identifying areas needing enhancement, and developing targeted interventions to improve educational outcomes. ...
• A Dependency Analyzing System for Communication Activities in Network Construction Exercises using Trema 

  Htet, Hlwam Maint (University of Computer Studies, Yangon, 2024-07)

  Nowadays, networking and virtualization technology has been developing in momentum. Software Defined Networking (SDN) has been popular for research and innovation. Universities and research labs are the basic points for ...
• Deep Neural Ranking Models for Myanmar News Retrieval 

  Oo, HAY MAN (University of Computer Studies, Yangon, 2024-07)

  This dissertation focuses on enhancing Myanmar Information Retrieval (IR) system to generate more natural text for a given input text. Typical IR systems have two main components: text query (user needs or preferences) ...
• 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 ...

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