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Browsing Ph.D/Master Thesis & Dissertation by Title

Browsing Ph.D/Master Thesis & Dissertation by Title

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  • SENTIMENT ANALYSIS OF PRODUCT REVIEWS 
    Kyawt, Khin Kyawt (University of Computer Studies, Yangon, 2022-06)
    During the past decades, online market places have been popular and most of the sellers also request the customers to express the reviews of the products. Nowadays individual and groups depend heavily on website for ...
  • Sentiment Analysis System in Big Data Environment 
    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 ...
  • SENTIMENT LEVEL ANALYSIS FOR DETECTING SPAM EMAIL 
    Aye, Nwe Nwe (University of Computer Studies, Yangon, 2022-06)
    Since web is expanding day by day and people generally rely on web for communications, e-mails are the fastest way to send information from one place to another. Nowadays all the transactions and all the communications ...
  • SHOPPING ASSISTANT SYSTEM USING MULTI ATTRIBUTE UTILITY THEORY (MAUT) 
    Khine, Aye Myint (University of Computer Studies, Yangon, 2022-06)
    With the widespread use of the Internet, electronic commerce (e commerce) becomes very popular and one of the most important fields. In today's fast-changing era, it is extremely important to be able to respond to the ...
  • Shorter Path Generation Scheme for Adaptable Self-Organized 
    Hlaing, Soe Soe (University of Computer Studies, Yangon, 2020-02)
    Swarm robotics is an approach to the collective robotics that takes inspiration from the self-organized behaviors of social animals. Through simple rules and local interactions, swarm robotics aims at designing robust, ...
  • Skin Cancer Diagnosis using Support Vector Machine based on Gray Level Co-occurrence Matrix 
    WAI, MYINT MYINT (University of Computer Studies, Yangon, 2022-12)
    As today's world is more developed than ever, the way to diagnose the diseases is better and more precise. Cancer has been identified as one of the leading causes of death. In this study, features from dermoscopy pictures ...
  • SMART CAR PARKING SYSTEM USING GRAPH ALGORITHM 
    Kyi, Nan Chaw Su (University of Computer Studies, Yangon, 2022-06)
    An effective car parking of a condo is conducted in this system with the aim of reducing the time for finding the free parking lots. The condo has an two-way road for each entrance and exit. Smart car parking enables ...
  • SOIL CLASSIFICATION FOR AGRICULTURE CROPS USING K-NEAREST NEIGHBORS (KNN) 
    Win, Shwe Yee (University of Computer Studies, Yangon, 2022-06)
    Soil is the basis of our earth’s agroecosystems which provide us with fiber, food, fuel etc. Soil classification helps predict soil type and performance for growing agricultural crops that provide us with food. Soil ...
  • SOLID TRASH SEGREGATION SYSTEM USING CONVOLUTIONAL NEURAL NETWORK 
    Aung, Moh Moh Thet (University of Computer Studies, Yangon, 2022-12)
    Environmental protection has long placed a high priority on garbage sorting. Due to the cities' rapid population increase and the massive amount of waste it generates, urban regions are experiencing difficulties with ...
  • 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 ...
  • SQL INJECTION DETECTION USING PATTERN MATCHING ALGORITHM FOR LIBRARY SYSTEM 
    Than, Mar Mar (University of Computer Studies, Yangon, 2022-09)
    Security concerned vulnerabilities are frequently detected and exploited in modern library system. Intruders obtain unrestricted access to the information stored in the library system by exploiting security vulnerabilities. ...
  • SQL INJECTION PATTERN RECOGNITION BASED ON NAÏVE BAYES MODEL 
    TUN, HSU WAI (University of Computer Studies, Yangon, 2022-12)
    In recent years, sharing information through the Internet across various platforms and web-applications has grown increasingly widespread. Users' critical information is stored in databases by the web-based applications ...
  • 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 ...
  • STATISTICAL MACHINE TRANSLATION SYSTEM BETWEEN KAREN AND ENGLISH LANGUAGE USING PBSMT MODEL 
    Paw, Sharo (University of Computer Studies, Yangon, 2022-09)
    Nowadays, there are top performance of machine translation systems for some foreign languages (high resource languages). Machine Translation (MT) is the automatic translation mechanism from one natural language into ...
  • STRENGTHENING MALARIA DIAGNOSIS AND TREATMENT USING CART 
    Myintzu, Mya (University of Computer Studies, Yangon, 2022-09)
    Malaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected mosquitoes. It remains a leading cause of morbidity and mortality in Myanmar. Myanmar is moving ...
  • A Study on an Effective Music Distribution System for Online Digital Music Industry 
    Sandi, Su Latt (University of Computer Studies, Yangon, 2020-02)
    Due to the vast improvements in the Internet and telecommunication technologies and digital multimedia platforms, the music industry has already been moving into online space successfully these days. Services of digital ...
  • A Study on an Efficient Tampering Detection and Localization Method for Speech Signals 
    Myint, Sharr Wint Yee (University of Computer Studies, Yangon, 2018-11)
    Due to the development of digital technologies, new social issues relating to malicious attacks and unauthorized tampering to speech, such as content replacement and voice morphing, have arisen. Using advanced speech ...
  • A Study on Isolated-Word Myanmar Speech Recognition via Artificial Neural Networks 
    Hsan, Nan Phyu Phyu (University of Computer Studies, Yangon, 2018-11)
    Speech is an easiest way to communicate with each other. Digital processing of speech signals is very important for speedy and precise automatic speech recognition systems. Speech recognition is the capability of an ...
  • Syllable-based Neural Machine Translation System for Myanmar-English Language Pair 
    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 ...
  • Syllable-Based Neural Named Entity Recognition for Myanmar 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) ...

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