Browsing Ph.D/Master Thesis & Dissertation by Title

THE ANALYSIS OF COVID-19 IMMUNIZATION DATA IN RAKHINE STATE USING KNN ALGORITHM

Thu, Khin Myat (University of Computer Studies, Yangon, 2022-09)

Data mining involves the searching of large information of the data or records to discover pattens and utilize these pattens in the prediction the future events. Classification is one of the methods in data mining for ...

THE ANALYSIS ON THE POTENTIAL BREAST CANCER BY USING BIG DATA ENVIRONMENT

Ei, Yee Mon (2022-09)

Nowadays, big data is widely used in healthcare for prediction of diseases. Breast cancer is the most occurred cancer disease in the world that occurs in a woman. If this disease is detected in early stages, there will ...

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. ...

ANDROID FORENSICS FOR CYBERCRIME INVESTIGATION IN MYANMAR

Linn Htun, Naing (University of Computer Studies, Yangon, 2021-12)

Mobile phone technology is changing rapidly, and there are a growing number of different device models with different operating systems around the world. In particular, Android mobile devices are becoming much more attractive ...

Application-aware Traffic Engineering in Software Defined Networking

Win, May Thu Zar (Unversity of Computer Studies, Yangon, 2019-11)

The integration of control and data planes into the same devices and lack the global centralization control that made the traditional networks may not meet the requirements of the emerging cloud computing, the tactile ...

Attribute Level Locking to Improve Data Availability in a Distributed System

Aung, Swe Zin (University of Computer Studies, Yangon, 2020-01)

Distributed systems consist of a number of computers connected over a network in which numerous users are using such systems locally or via the Internet to meet their requirements. As the system is multiple users’ ...

THE AUDIO STEGANALYSIS SYSTEM BASED ON MUTUAL INFORMATION APPROACH

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

Steganography is a technique whereby we put the existence of a message to question by simply covering it up within another file image or video. This system used the input audio signals as hidden message with audio ...

THE AUTOMATIC MYANMAR IMAGE CAPTIONING USING CNN AND BIDIRECTIONAL LSTM-BASED LANGUAGE MODEL

Aung, San Pa Pa (University of Computer Studies, Yangon, 2022-11)

Image captioning is one of the most challenging tasks in Artificial Intelligence which combines Computer Vision and Natural Language Processing (NLP). Computer vision is for detecting salient objects or extracting ...

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 ...

BARRIER AVOIDANCE ROBOT BY FUZZY LOGIC

Khaing, Ei Ei (University of Computer Studies, Yangon, 2022-04-22)

Automated Guided Vehicles have many potential applications in manufacturing, medicine, space and defense. Barrier Avoidance Robot is primary used in embedded systems. The robot is using the fuzzy logic and applied in ...

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, ...

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 ...

CACHE COHERENCY CONTROL BY USING MOESI PROTOCOL IN ONLINE DOCTOR APPOINTMENT

Zaw, Thura (University of Computer Studies, Yangon, 2022-09)

The rapidly growth of internet and the World Wide Web have made the possible for millions of users to gain access to geographically distributed web content. However, raising the population of online users and the ...

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 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 ...

CLASSIFICATION OF BANK DEPOSITOR USING ID3 AND NAIVE BAYESIAN CLASSIFIERS

Phyu, Moe San (University of Computer Studies, Yangon, 2022-09)

Nowadays, banks are financial institutions whose activities are to collect funds from the public in the form of deposits (saving deposit and time deposit). Deposits are an alternative for customers because the interest ...

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 ...

CLASSIFICATION OF MUSHROOM IN MYANMAR USING NAIVE BAYESIAN CLASSIFIER

Zaw, Khaing Ei Ei (University of Computer Studies, Yangon, 2022-06)

Mushrooms are the most recognizable scrumptious food which is cholesterol free as well as plentiful in nutrients and minerals. Numerous types of mushrooms have been figured out all through the earth. Distinguishing ...

CLASSIFICATION OF PSYCHOLOGICAL ILLNESSES USING NAÏVE BAYES

Soe, Kay Khaing (University of Computer Studies, Yangon, 2022-09)

Physical and psychological illness are important for people in their daily life. If people face risks, conflicts and difficulties, they suffer from psychological illness problems such as depression, bipolar disorder, ...

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 ...

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