• 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 ...
• The Efficient Music Identification for FM Broadcast Monitoring Using MFCC-based Space-saving and Robust Audio Fingerprinting 

  Htun, Myo Thet (University of Computer Studies, Yangon, 2023-02)

  Audio identification techniques for unknown songs in today music industry are very popular for their auto detection ability to small pieces of audio signals. The research methodologies for audio identification systems ...
• MYANMAR ENTITY IDENTIFICATION FOR NATURAL LANGUAGE UNDERSTANDING USING BIDIRECTIONAL LONG SHORT TERM MEMORY (BiLSTM) 

  PHWAY, SAUNG THAZIN (University of Computer Studies, Yangon, 2023-01)

  Entity identification is an exacting function which has commonly appropriate broad chunk of awareness in the course of feature engineering and word list to attain great achievement.. Entity Identification (EI) is indispensable ...
• THE STATISTICAL MACHINE TRANSLATION BETWEEN MYANMAR AND LISU LANGUAGES 

  Mee, Zaw (University of Computer Studies, Yangon, 2023-01)

  Natural language processing, as an essential component of artificial intelligence technology, is rooted in a variety of disciplines, including linguistics, computer science, and mathematics. Natural language processing's ...
• MUNGBEAN LEAF DISEASE DETECTION USING K-NEAREST NEIGHBOR ALGORITHM 

  Zaw, Hnin Pwint (University of Computer Studies, Yangon, 2023-01)

  Disease detection is a very important part to protect loss of crop in agriculture. Symptoms of the plant diseases can be detected by using machine learning techniques. Machine learning technique can solve for classification ...
• DATA DEDUPLICATION FOR MYANMAR LANGUAGE STORAGE BY USING SECURE HASH ALGORITHM 

  Aye, Thae Nu (University of Computer Studies, Yangon, 2023-01)

  There is a vast amount of duplicated or redundant data in storage systems. The existing data deduplication attempted to reduce the storage spaces in file-level, sub file-level data storage in terms of byte-level. There ...
• PREDICTION OF EMPLOYEE ATTRITION USING BAYES RISK POST-PRUNING IN DECISION TREE 

  Aung, Win Pa Pa May Phyo (University of Computer Studies, Yangon, 2023-01)

  Employee attrition is the departure of employees from the organization for any reason (voluntary or involuntary), including resignation, termination, death, or retirement. Attrition is widely understood to be one of ...
• DETECTING WEB APPLICATION’S BROKEN AUTHENTICATION BY USING COMBINATORIAL ALGORITHM 

  Thet, Ohnmar (University of Computer Studies, Yangon, 2023-01)

  Authentication and session management functions in web applications are used to verify the identity of the user. Incorrect implementation of these functions allows attackers to compromise passwords, keys or sessions ...
• FACE MASK DETECTION BY USING CONVOLUTIONAL NEURAL NETWORK 

  LWIN, EI CHERRY (University of Computer Studies, Yangon, 2022-12)

  The proposed system is designed to classify people who is wearing face masks or not. The model used in this system is MobilenetV2, a convolutional neural network (CNN). The image dataset contains 7553 images. 3832 ...
• SPAM DETECTION IN TWITTER BY USING K-NEAREST NEIGHBOR (KNN) 

  THA ZIN, SHWE (University of Computer Studies, Yangon, 2022-12)

  Since more than 300 million monthly users send 500 million tweets daily, Twitter is a popular social networking platform. This is the main reason why spammers use Twitter to spread malicious software that steals user ...
• VULNERABILITY DETECTION FOR HTTPS SPOOFING AND EMAIL HIJACKING ATTACKS OF WEB APPLICATION USING BOYER MOORE STRING MATCHING ALGORITHM 

  BO, THAZIN EAINDRA (University of Computer Studies, Yangon, 2022-12)

  Nowadays, many people use the internet for more than one purposes. Among these purposes, they mostly apply the web application which is one of the internet usage technologies. A web application is composed of a web ...
• UTILIZING ROBERTA INTERMEDIATE LAYERS AND FINE-TUNING FOR SENTENCE CLASSIFICATION 

  Soe, Eaint Thet Hmu (University of Computer Studies, Yangon, 2022-12)

  Text classification becomes more and more challenging due to a scarcity of standardized labeled data in the Myanmar NLP domain. The majority of the existing Myanmar research has relied on models of deep learning that ...
• MOBILE APP RECOMMENDATION SYSTEM USING K-MEANS AND ITEM-BASED COLLABORATIVE FILTERING 

  SAN, KHIN AYE (University of Computer Studies, Yangon, 2022-12)

  Recommender Systems are being widely used in many application settings to suggest products, services, and items to potential users. They are the software techniques providing suggestions for items to be of use to a ...

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