• An Enhanced Discrete Artificial Bee Colony Algorithm for Community Detection in Social Networks 

  Aung, Thet Thet (University of Computer Studies, Yangon, 2022-06)

  Real world social network is represented as a graph structure which has a collection of non-empty set of nodes and set of connections of nodes. The nodes in a social graph are people, and edges represent the connection ...
• MEETING ROOM MANAGEMENT SYSTEM ON PEER-TO-PEER OVERLAY NETWORK BY SCRIBE TO EVENT-BASED ROUTING 

  Htike, Su Yadanar Than (University of Computer Studies, Yangon, 2022-06)

  With the adventure of the Internet, it became possible to build large-scale distributed applications due to the existence of a global, packet-based communication infrastructure. This increases in application scale by ...
• IMPLEMENTATION OF VOICE-CONTROLLED WHEELCHAIR BASED ON PULSE WIDTH MODULATION 

  Aye, Moe Moe (University of Computer Studies, Yangon, 2022-06)

  In this thesis, the innovative and low-cost self-assistive design of wheelchair for the intended users is implemented to facilitate the control of voice commands. Moreover, the implementation of voice-controlled ...
• WEATHER PREDICTION USING HIDDEN MARKOV MODEL 

  Aung, May Thagyan (University of Computer Studies, Yangon, 2022-06)

  Weather forecasting is avital role in meteorology and has been one of the most particularly problems all over the world. Data mining techniques are useful for objective recognition, forecasting, and various kinds of ...
• 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 ...
• 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 ...
• FREQUENT PATTERN MINING ON ONLINE JUDGE EDUCATION WEB LOG DATA USING ECLAT ALGORITHM 

  Zin, Poe Myat (University of Computer Studies, Yangon, 2022-06)

  The World Wide Web is a popular and interactive tool for spreading information today that is expanding rapidly. Web mining is the process of extracting patterns and implicit data from artifacts or activities associated ...
• FACE RECOGNITION SYSTEM USING PRINCIPAL COMPONENT ANALYSIS AND BACK PROPAGATION NEURAL NETWORK 

  Win, Su Sandar (University of Computer Studies, Yangon, 2022-06)

  Face recognition is a computer application which is used to indentify or verify a person in a digital image, based on digital image processing and is an active area of research. The face recognition system proves to ...
• DOMAIN ORIENTED SYNTAX BASED ASPECT DETECION FOR STUDENT FEEDBACK SYSTEM OF UCS Taungoo 

  Soe, Nilar (University of Computer Studies, Yangon, 2022-06)

  Opinion Mining becomes popular in seeking the information on online review or feedback system. This technique can be usually used in recommender system that supposes the customers for making trust upon the products ...
• AUTOMATIC SPEECH RECOGNITION FOR RAKHINE LANGUAGE USING HIDDEN MARKOV MODEL AND GAUSSIAN MIXTURE MODEL 

  Kyaw, Hnin Thi Dar (University of Computer Studies, Yangon, 2022-06)

  The automatic recognition of speech means enabling a natural and easy mode of interaction between human and machine. The process of speech recognition is to translate speech signal into text sequence. Automatic Speech ...
• PREDICTION OF STUDENTS’ ACADEMIC PERFORMANCE USING MULTIPLE LINEAR REGRESSION 

  Zu, Chan Myae Myint (University of Computer Studies, Yangon, 2022-06)

  Nowadays, the education system has been changed from teacher centered approach to learner-centered approach. Thus, students’ related features need to analyze to predict students’ academic performance to provide the ...
• RISK CALCULATION OF COVID-19 FOR ASEAN COUNTRIES USING BACKPROPAGATION NEURAL NETWORK AND FUZZY INFERENCE SYSTEM 

  Oo, Sabai (University of Computer Studies, Yangon, 2022-06)

  CORONAVIRUS DISEASE (COVID-19) is the infectious disease caused by the coronavirus that was first discovered in Wuhan City, China, and then spread throughout the world. Many researchers have proposed various methods ...
• WEATHER FORECASTING SYSTEM USING GAUSSIAN NAÏVE BAYES 

  Kyaw, May Theingi (University of Computer Studies, Yangon, 2022-06)

  Forecasting is the process of estimation in unknown situations from the historical data. Weather forecasting is one of the applications to predict the atmosphere state for a future time and a given location as regards ...
• SECURE MESSAGING SYSTEM USING RC4-2S 

  Hlaing, Hnin Hsu (University of Computer Studies, Yangon, 2022-06)

  Nowadays, telecommunication technologies are developing rapidly and many organizations are mostly using these technologies. The well known telecommunication technology is the short message service (SMS). It plays a ...
• MULTI-OBJECTIVE TASK SCHEDULING USING K-MEANS ALGORITHM IN CLOUD COMPUTING 

  Kyaw, Chue Theingi (University of Computer Studies, Yangon, 2022-06)

  The growth of information technology has led to the increasing need of computing and storage. Cloud services are the technologies with high demand, consisting of a set of virtualized resources that serve the users as ...
• LOW LATENCY FAULT TOLERANCE SYSTEM FOR DISTRIBUTED APPLICATIONS 

  Kyaw, Chu Sandy (University of Computer Studies, Yangon, 2022-06)

  The Low Latency Fault Tolerance (LLFT) system provides fault tolerance for distributed applications within a wide-area network, using a leader-follower replication strategy. LLFT provides application-transparent ...
• WEB APPLICATION VULNERABILITY TESTING SYSTEM USING XSS_SQL_SCANNING ALGORITHM 

  Aung, Thinzar (University of Computer Studies, Yangon, 2022-06)

  Nowadays, many people use the internet for more than one purpose. 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 ...
• CLASSIFICATION OF YOUTUBE COMMENT SPAM USING TF-IDF AND MULTINOMIAL NAÏVE BAYES CLASSIFIER 

  Oo, Nang Mya (University of Computer Studies, Yangon, 2022-06)

  Nowadays, social networking such as Facebook, YouTube, Telegram, Instagram, etc. are very popular among people as IT technologies are developing more and more. Facebook and YouTube are the most popular social media ...
• THE MATRICULATION STUDENTS’ RESULT PREDICTION SYSTEM (RAKHINE STATE) 

  Zin, Nwet Nwet (University of Computer Studies, Yangon, 2022-06)

  Nowadays, large amount of data are stored in different databases and are increasing rapidly. These databases contain data that can be useful for predicting students’ academic performance, and will help to improve the ...
• DATA CACHE CONSISTENCY BY BROADCASTING WITH CATALOG BINDING IN E-COMMERCE SYSTEM 

  San, Myo Myo (University of Computer Studies, Yangon, 2022-06)

  Caching is a simple and effective way to provide faster access to information on the Internet, and it has been used effectively to improve the E- commerce servers. However, there is a growing concern by today’s Web ...

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