• Joint Word Segmentation and Stemming for Myanmar Language 

  Oo, Yadanar (University of Computer Studies, Yangon, 2019-10)

  Due to the powerful development of internet use, the amount of unstructured Myanmar text data has increased excessively. It is necessary to retrieve exact data for user query. The effectiveness of searching is obviously ...
• Effective Malicious Features Extraction and Classification for Incident Handling Systems 

  San, Cho Cho (University of Computer Studies, Yangon, 2019-10)

  Each and every day, malicious software writers continue to create new variants, new innovation, new infection, and more obfuscated malware by using packing and encrypting techniques. Malicious software classification and ...
• 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 ...
• Delay-Aware Elephant Flow Rerouting in Software-Defined Networking (SDN) 

  Zaw, Hnin Thiri (University of Computer Studies, Yangon, 2019-09)

  Conventional tree topology networks and single shortest path routing will create congestion along overloaded links. Therefore, load-balanced path selection is necessary to reduce congestion and enhance the performance ...
• Network Behavioral Analysis for Detection of Remote Access Trojans 

  Yin, Khin Swe (University of Computer Studies, Yangon, 2019-09)

  Today’s world is connected through the Internet, everyone can connect each other and people do business on the Internet like online shopping and online banking. Social networking sites are widely used and people save ...
• 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) ...
• 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 ...
• FORENSIC INVESTIGATION ON HADOOP BIG DATA PLATFORM 

  Oo, Myat Nandar (University of Computer Studies, Yangon, 2019-01)

  In the era of Big Data, Hadoop Big Data Platform has been embraced by both individuals and organizations as it can offer cost-effective, large capacity storage and multi-functional services on a wide range of devices. ...
• MYANMAR LANGUAGE CONTINUOUS SPEECH RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK CNN 

  Mon, Aye Nyein (University of Computer Studies, Yangon, 2019-01)

  Researchers of many nations have developed automatic speech recognition (ASR) to show their national improvement in information and communication technology for their languages. The dissertation aims to develop good ...
• MOBILE LOCATION BASED INDEXING OF DISASTER NOTIFICATION SYSTEM 

  Zan, Thu Thu (University of Computer Studies, Yangon, 2019-01)

  Myanmar is one of the countries that geographically located in the disasteraffected area because of the climate changes and environmental conditions. There is no way to prevent the natural disaster, but its impacts can ...
• IMPLEMENTATION OF DECISION SUPPORT SYSTEM FOR CHOOSING PRE-WEDDING PHOTO SERVICE 

  Lwin, Chaw Yupar (University of Computer Studies, Yangon, 2018-12)

  Decision making is the selection of a course of action from a number of possible alternatives on the various forms of evidences. Multi-criteria decision making (MCDM) is a discipline to support the decision makers who ...
• FEATURE SELECTION AND MAPREDUCEBASED NEURAL NETWORK CLASSIFICATION FOR BIG DATA 

  Shine, Chit Thu (University of Computer Studies, Yangon, 2018-12)

  Nowadays, a large amount of digital data is generated from everywhere, every second of the day. One of the challenges is the volume of generated data with high dimensionality. Most of traditional machine learning algorithms ...
• THE COMPARISON OF CLASSIFICATION METHODS ON SOFTWARE DEFECT DATA SETS 

  San, Hnin Yi (University of Computer Studies, Yangon, 2018-12)

  Nowadays, it is difficult for us to imagine a life without devices that is controlled by software. Software quality has become the main concern during the software development. Software quality is a field of study and ...
• PATTERN DISCOVERY USING ASSOCATION RULE MINING ON CLUSTERED DATA 

  Oo, Htun Zaw (University of Computer Studies, Yangon, 2018-08)

  Many organizations use World Wide Web for multipurpose platform during these days. It is very important to understand how a web site is being used by users. Web usage mining also known as web log mining, aims to discover ...
• 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 ...
• DECISION SUPPORT SYSTEM FOR SELECTION USING ANALYTICAL NETWORK PROCESS 

  Oo, Hnin Nwe (University of Computer Studies, Yangon, 2018-03)

  Decision support system is a type of information system whose principal objective is to support a human decision maker during the process of arriving at a decision. Decision-making problem is the process of finding the ...
• MYANMAR WORD SEGMENTATION USING HYBRID APPROACH 

  Myat, Khine Myint (University of Computer Studies, Yangon, 2018-05)

  Word segmentation is a basic task and an important problem in natural language processing. In Myanmar language, words composed of single or multiple syllables are usually not separated by white space. Myanmar word ...
• CLASSIFICATION AND DISCOVERY ON INTRAFIREWALL POLICY ANOMALIES 

  Thwin, Lae Win (University of Computer Studies, Yangon, 2018-06)

  Firewalls are core elements in network security. However, managing firewall rules is an error-prone task especially for less experienced administrator. The reason is that firewall filtering rules itself might cause network ...
• 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 ...
• MYANMAR TEXT CLASSIFIER USING GENETIC ALGORITHM 

  Zaw, Thit Thit (University of Computer Studies, Yangon, 2018-07)

  Text Classification is the task of automatically assigning a set of documents into certain categories (class or topics) from a predefined set. This also plays an important role in natural language processing and also ...

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