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  • A Multi-Agent System (MAS) For Computer Training Course Searching System 
    Thagyan, May; Htway, Thin Thin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    With the rapid development particularly in online industry, the amount of online user is also dramatically increased. Information systems for future will have to perform well within ever-changing organizational environment. ...
  • Multi-agent System for Water Pollution using Genetic Algorithm 
    Htun, Theint Theint; Win, Khin May (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Multi-agent system is widely used in the real world. It is composed of many agent types which interact with one another through communication. The multi-agent system field is used in many areas as economics, philosophy, ...
  • Multi-category Classification of Web Pages by using Random Forest Classifier 
    Aung, Win Thanda; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    To classify Web objects into predefined semantic structure is called the Web Page classification. One of the most essential technique for Web Mining is the automatic web page classification given that the web is a huge ...
  • 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 ...
  • Multi-tier Sentiment Analysis System with Sarcasm Detection: A Big Data Approach 
    Chan, Wint Nyein; Thein, Thandar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Social Media is one of the generating sources of big data and analyzing social big data can provide the valuable information. For analyzing the social big data in an efficient and timely manner, the traditional analytic ...
  • Multi-view Stereo Dense Reconstruction using SfM-based PMVS for Image-based Modeling (IBM) 
    Aung, Cho Cherry; Thein, Thin Lai Lai (ICCA, 2021-02-25)
    This paper intends to represent the effective Multiview stereo algorithm based on the image-based modeling (IBM). The system consists of three steps: patch initialization, expansion and filtering. In patch initialization, ...
  • Multicasting for a Classroom Lecturing 
    Swe, Wit Yee; Wai, Khaing Khaing (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Multiple hosts wish to receive the same data from one or more senders. Multicast routing defines extensions to IP routers to support broadcasting data in IP networks. Multicast data is sent and received at a multicast ...
  • Multilevel Association Rules By Mining both Positive and Negative Approach 
    Htun, May Thu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Association rule mining is one of the key issues in knowledge discovery. The discovery of frequent patterns, association, and correlation relationship among huge amounts of data is useful in selective marketing, decision ...
  • Multimedia Documents Segmentation and Classification 
    Hlaing, Cho Thida (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Document page segmentation and classification are important parts of the document analysis process. Page segmentation is that the page is decomposed into blocks. It is also called “page decomposition” or “zoning”. The ...
  • Multimedia Documents Segmentation and Classification 
    Hlaing, Cho Thida (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Document page segmentation and classification are important parts of the document analysis process. Page segmentation is that the page is decomposed into blocks. It is also called “page decomposition” or “zoning”. The ...
  • Multiplier Changing Overclocking Method for CPU Intensive Applications 
    Aung, Win Win (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Overclocking method is the most popular method used by the users who want to perform the processing speed beyond the manufacturer’s limit. When client server computing becomes useful for all environments in order to ...
  • Multiplying Strings of N Matrices using Mobile Agents 
    Ko, Phyo Phyo; Latt, Yin Ko (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Mobile agent is one that is not bound to the system for their execution on a network. Each mobile agent can travel around the network and perform the tasks. We propose the use of mobile agent in parallel computation models ...
  • 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 ...
  • Music Emotion Classification: Fuzzy K-nearest Neighbor Classifier 
    Aung, Myo Thin Zar; Swe, Ei Mon Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Music expresses emotion. A number of audio extracted features have influence on the perceived emotional expression of music and due to the subjective nature of human perception; classification of the emotion of music is a ...
  • A Music Information Retrieval Algorithm using MP and SPM 
    Thu, Soe Myat (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In the IT age where private music collections contain thousands of songs and commercial music catalogs consist of millions of songs, music recommender systems become more and more important especially for searching ...
  • Music Searching and Browsing using Time-frequency Dictionaries 
    Thu, Soe Myat (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Nowadays, music searching and browsing are becoming very important as the huge amount of music are accessible over the Internet. Music recommender systems are essential especially for searching and browsing music ...
  • A Music Similarity Function Based On Time-Frequency Analysis and Pyramid Kernel 
    Thu, Soe Myat (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    In this paper, content-based music similarity function from acoustic music signal in an efficient way is considered. This function is to determine similarities among songs, particularly, a piece of input music ...
  • Musical Genre Classification using Gaussian Mixture Models 
    Oo, Su Myat Mon; Aye, Khin San (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Digital music is one of the most important data types, distributed by the Internet. Automatic musical genre classification is very useful for music indexing and retrieval. A method to recognize the genre of music audio ...
  • MYANMAR AUTOMATIC SPELLING CORRECTION BASED ON N-GRAM MODEL 
    Win, Thazin (University of Computer Studies, Yangon, 2022-09)
    Myanmar spelling correction intended for real-word errors and non-word errors. There are three main modules in this thesis. They are error detection,candidates generation, error correction. Dictionary look up method is ...
  • Myanmar Character Hiding into BMP Image Based on Hexadecimal-Digits Representation 
    Ko, Aye Chan; Aung, Nay Aung (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Steganography is the approach for hiding any secret message in a variety of multimedia carriers like text, images, audio or video files. Whenever hiding a secret message, it is very important to make it invisible. This ...

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