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Browsing Local Conference on Parallel and Soft Computing by Author "Pa, Win Pa"

Browsing Local Conference on Parallel and Soft Computing by Author "Pa, Win Pa"

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  • Analysis of Feature Extraction Techniques for Myanmar Automatic Speech Recognition 
    Aung, Myat Aye Aye; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Automatic Speech Recognition (ASR) system is to accurately and efficiently convert speech signal into a text message independent of device, speaker or the environment. Feature extraction is the second component of ...
  • Automatic Mining of Verb Affixes for Myanmar Language with Unsupervised learning by using N-Grams 
    Than, Shalle Soe; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A separable verb is a verb that is composed of a verb stem and a separable affix which is called verb affixes. Mining of verb affixes is to extract the various forms of verb affixes from any Myanmar sentences. A Method ...
  • Classification of Acute Upper Gastrointestinal Bleeding based on Rough Neural Network 
    Aung, Su Mon; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The main emphasize of paper is the classification of Acute upper Gastrointestinal Bleeding based on Rough neural network. Classification is used to extract model describing important and data classes or future data ...
  • Comparative Study of Decision Tree Algorithms: ID3 and CART 
    Thu, Su Myat; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification of data objcts based on a predefined knowledge of the objects is a data mining and knowledge management techniques used grouping similar data objects together. It can be defined as supervised learning ...
  • Comparison of Boosted C5 over ID3 and C4.5 Abdominal Pain Problem 
    Aye, Hnin Nwe; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification can be used as in the form of data analysis that can be used to extract models describing the important data classes. This aim of this paper is to exmaine the performance of decision tree algorithms. ...
  • Decision Support System for Taking Actions to Staffs Using Cased Based Reasoning 
    Aye, Khaing Zar; Pa, Win Pa (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A decision support system a case-base of previously taken actions and a record of previous taking action processes can assist Administrators in deciding and solving problem cases of staffs in new cases. This system suggests ...
  • Health Care System for Lung Disease Classification using Modified Gini 
    Wai, Tin Yu; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is the process of analyzing data from different prespectives and summarizing it into useful information. Classification has been used for predicting medical diagnosis. Human experts in medical field are frequently ...
  • Morphological Analysis of Myanmar Language by using Support Vector Machine 
    Htun, Thet Thet; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In a variety of Natural Language Processing (NLP) tasks, the words syntactic categories or Part of Speech (POS) tagging is the necessary process for Myanmar to other languages machine translation system. Morphologica ...
  • Myanmar Part Of Speech Tagging using Backpropagation Neural Network 
    Hnin, Hay Mar; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    POS tagging is the process of automatic assigning a for each word with their categories that best suits the definition of the word as well as the context of the sentence of a natural language in which it is used. It ...
  • Web Page Layouts Retrieving by using Hungarian Method 
    Soe, Than Than; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    It is very difficult for inexperienced user to design good-looking web page layouts. Even with WYSIWYG (What You See Is What You Get) editors, it is still difficult to obtain desired results because one must combine ...

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