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  • N Gram Based Spelling Checker for Myanmar Noun Words 
    Oo, Naing Lin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Myanmar spelling checker system is the important task in one of NLP application such as information retrieval and in most other NLP applications. This system is based on N-Gram approach for Myanmar Spelling Checker. The ...
  • Naïve Bayes for Function Tagging in Myanmar Language 
    Thant, Win Win (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper proposes an approach to annotate function tags for unparsed text. We address the question of whether data-driven function tag assignment method can be applied to Myanmar language. We assign function tags ...
  • A nalytical study on server consolidation algorithm with virtual machine migration 
    Hlaing, Pa Pa (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Energy consumption of data centers has been increasing continuously due to rising demands of computational power. One promising approach of reducing this energy consumption is the consolidation of servers by virtualization. ...
  • Name Entity Recognition for Myanmar Language 
    Myint, Thida (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Name Entity Recognition (NER) is one of the fundamental problems in many Natural Language Processing applications. NE consists of names, person, location, organization, time, numerical expressions and etc. Not much ...
  • Nation Building Task: Internship Program for Students of University of Computer Studies, Yangon 
    Khine, Aye Aye (National Journal of Parallel and Soft Computing, 2019-03)
    In the 21st Century, the demand of experienced and educated workers has increasingly become in working environment and higher institutions like universities play a central role in nurturing the qualified students. In ...
  • Natural Scene Interactive Segmentation Using Edge Detection and Maximal Similarity Region Merging 
    Win, May Thu; Win, Kay Thi (Thirteenth International Conference On Computer Applications (ICCA 2015), 2015-02-05)
    A fundamental problem in image processing is image segmentation. The conventional image segmentation methods, to some extent, all suffer from the problem of inaccurate segmentation. A slightly easier and more approachable ...
  • Neighbor Search with Hash Map Indexing Technique for Complex Networks 
    Hlaing, Wai Mar; Sein, Myint Myint (The 12th International Conference on Future Computer and Communication (ICFCC 2020), 2020-02-26)
    Neighbor Search with Hash Map Indexing Technique is used to get the high performance when the optimal path is searched in the complex networks. This system can also give advice the public bus passengers about the travel ...
  • Network Based Remote Vehicle Control System using Arduino and Android 
    Oo, Han Phyo; Thein, Yadana (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In the today advanced world, remote controlled embeddedsystem is one of the biggest demand mainly in disaster recovery, military, home security and etc. The purpose of this design is to provide the prototype of a ...
  • 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 ...
  • Network Intrusion Detection and Analyzing User-agent Field XSS Attack Log Files from Web Application 
    Thu, Aye Aye (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Today web site hacks are on the rise and pose a greater threat than the broad-based network attacks as they threaten to steal critical customer, employee, and business partner information stored in applications and databases ...
  • A Network Intrusion Detection Model Using Fuzzy C4.5 Decision Tree 
    Hlaing, Thuzar; Khine, May Aye (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    With the growing rate of interconnections among computer systems, reliable network communication is becoming a major challenge. Intrusion detection has emerged as a significant field of research, because it is ...
  • Network Simulator With Step Execution and Resume Functions for Understanding Mechanism of Communication: A Case Study for Layer 2 Access 
    Cherry, Hnin; Tateiwa, Yuichiro; Aye, Zin May (ICCA, 2021-02-25)
    There are several students who cannot understand the mechanism of communication, which is a part of TCP/IP, by taking lectures and reading textbooks. Our system helps students to understand it by observing network behavior ...
  • Neural Approach Applying for Soil Classification System 
    Sue, Khin Mo; Kyi, Tin Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The main aim of this paper is to develop a system for classifying the soil class of Myanmar by the help of Error Back-propagation algorithm (EBP) which is the most widely used algorithm among Artificial Neural Network (ANN ...
  • Neural Machine Translation between Myanmar (Burmese) and Dawei (Tavoyan) 
    Oo, Thazin Myint; Thu, Ye Kyaw; Soe, Khin Mar; Supnithi, Thepchai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    This work explores the first evaluation of the quality of neural machine translation between Myanmar (Burmese) and Dawei (Tavoyan). We also developed Myanmar-Dawei parallel corpus (around 9K sentences) based on the ...
  • Neural Machine Translation between Myanmar and Korean Languages 
    ZAW, HNIN NANDAR (University of Computer Studies, Yangon, 2022-12)
    No matter where they are in the world, people or individuals may now easily and cheaply communicate with one another because of the Internet. In addition to maintaining social networks and relationships, people can ...
  • Neural Network Learning Enhancement using Island Model based Differential Evolution Algorithm 
    Tun, Khin Mo Mo; Thein, Htet Thazin Tike (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Classification is a machine learning technique used to predict group membership for data instances. To simplify the problem of classification neural networks are being introduced. In this paper, the adaptation of network ...
  • A New Algorithmic Approach for Detecting Hidden Periodicity of Noisy Signals in Technically Complicated Systems 
    Winn, Aung Phyo; Troyanovskyi, V.M. (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Detecting signals with hidden periodicity is a wide and popular task in most complicated technical systems. The fields, where this problem is observed, can be astrophysics, engineering and mechanics, adaptive control, ...
  • A New Approach to Morphological Method by Anytime Algorithm for Real-time Image Processing 
    Kywe, Wyne Wyne; Murakami, Kazuhito (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    Real-time system requires not only the perfect result but also the partial usable result which produces in time under time restriction. Morphological method is a tool for extracting image components that are useful in ...
  • A New Framework for Secure Cloud Data Storage 
    Naing, Win Win; Naing, Thinn Thu (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Nowadays, the classic technology called cloud computing is very hot topic. It is widely developed in various environments such as information technology, business and medical, etc. Cloud computing platform offers ...
  • New Global and Regional Featuresfor Coronary Artery Disease Detection on 2D Echocardiography 
    HarmokoSaputro, Adhi; Mustafa, Mohd. Marzuki; Hussain, Aini (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    A computer-based of cardiac diagnosis system is needed to assist a cardiologist to evaluate the coronary artery disease quantitatively. In this paper, a computer-based global and regional diagnosis is developed to ...

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