UCSY's Research Repository

Browsing Local Conference on Parallel and Soft Computing by Title

Browsing Local Conference on Parallel and Soft Computing by Title

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  • Case-Based Reasoning for Protein Sequence Classification 
    Wai, Phyo Min; Han, Ei Ei (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    The special advantage of CBR is that a case can be a very convenient means of capturing knowledge, especially in weak theory domain where the relationship between case and effects may not be well understood. In this purpose ...
  • Case-Based Reasoning System for Car Fault Diagnosis 
    Myint, Kyaw Phone; Khine, May Aye (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Case-Base Reasoning (CBR) system is an artificial intelligent approach to learning and problem solving based on last experiences. The knowledge of case adaption is used to guide the retrieval process. Possible adaption ...
  • Categorization of Academic Performance for improving E-education 
    Wai, Htet Su; Lwin, Mar Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The use of web interfaces across organizations’ applications for cooperating and supporting has come to a dramatic increase in number of users to get effective systems. Current Web technologies employed to build up web ...
  • Categorization of computer science papers using random forest 
    Oo, Zin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Automatic categorization of text document is difficult and time consuming. This thesis proposed a method for automatic categorization of computer science paper using random forest classifier. Decision trees are widely ...
  • Centralized Peer-to-Peer Courseware Sharing System for UCS 
    Win, Thin Su Su; San, Kalyar Myo (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Today, thanks to the development of a number of advanced P2P file sharing applications, the reach and scope of peer networks has increased dramatically. Moreover, Centralized application architecture also become important ...
  • Classification Analysis using Back Propagation Neural Network and Radial Basis Function Neural Network 
    Lab, Ya Min Su; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Neural networks are a very popular data mining, classification and image processing tool.The fundamental concept of neural networks is the structure of the information processing system composed of a large number of ...
  • 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 ...
  • Classification of Brain Cancer by Using Naïve Bayesian Classifier 
    Kyaw, Zin Mar Win; Maw, Aung Htein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Brain tumors typically behave in a unique fashion compared to neoplasm occurring elsewhere in the body. In particular, they rarely spread to other parts of the body and typically produce symptoms due to localized growth ...
  • Classification of Breast Cancer Using Radial Basic Function Neural Network 
    Oo, Khin Mar Lar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Breast cancer is the second most common form of cancer among females and also the fifth most cause of cancer deaths worldwide. The early detection is the best form of cure and hence timely and accurate diagnosis of the ...
  • Classification of Butterfly's Sub Families System using Fuzzy Bayesian Decision Method 
    Aung, Nway Yu; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data Mining refers to extracting or mining knowledge from large amounts of data. Classification is an important technique in data mining. Classification is the process of finding a set of models that describe and ...
  • Classification of Different Abdominal Pain using Decision Tree Induction (ID3 Algorithm) 
    Myint, Khine Swe; Mar, Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, data classification techniques are very increasingly and applied in real world domain such as medicine, manufacturing and production, weather prediction, and financial analysis. Data classification is the process ...
  • Classification of Fish Based on Naïve Bayesian Classifier 
    Latt, Su Su; Myint, Myo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Classification is the form of data analysis that can be used to extract models describing import data class or to predict future data trends. This system uses the Naive Bayesian Classifier. This system is useful in predicting ...
  • Classification of Heart Disease Using Resilient Back Propagation Algorithm 
    Maung, Khin Yadanar; Lwin, Nyein Nyein (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Heart disease diagnosis is a complex task which requires much experience and knowledge. Traditional way of predicting Heart disease is doctor’s examination or number of medical tests such as ECG, Stress Test, and Heart ...
  • Classification of Import Market by using CART Algorithm 
    Pearl; Aung, Wint Thinzar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The goal of this paper is to classify Import Market data to support the decision makers for Import Market. The main task performed in this system is used Classification and Regression Tree (CART) Algorithm. In this paper, ...
  • Classification of Jade with Fuzzy Bayesian Decision Making Method 
    Zaw, Nan Sine Se Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Decision-making problems meet in the daily life or working environment. Sometimes it is very difficult to make the good decision. In practice, decision maker usually use the past experiences to make a decision. Selecting ...
  • Classification of Lung Diseases Using Decision Tree Algorithm (C4.5) 
    Khine, Hnin Htet Htet (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, it is increasing usage of data mining techniques on medical data for discovering useful trends and patterns that are used in diagnosis and decision making. Decision Tree is one of the successful data mining ...
  • Classification of Medical Diagnosis by using Naive Bayesian Classifier 
    Htwe, Tin Moe; Oo, Win Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Classification is a form of data analysis that can be used to extract models describing import data class or to predict future data trends. This paper contains two important aspects of pattern recognition that classification ...
  • Classification of Music and Speech from Audio Stream by using Fuzzy Logic 
    Phyo, Ohnmar; Aung, Moh Nyunt (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today multimedia informatio has become an important component of our lives. Rapid increase in the amount of audio data demands for classify audio stream based on its content. This system will be developed audio classification ...
  • Classification of Music Emotion with Gaussian Mixture Model (GMM) 
    Ko, Myat Ko (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Music is a link between cognition and emotion, and people are not able to share same feeling for a song. There has a need to process vast qualities of musical data. One of the operations is music emotion classification ...
  • Classification of Myanmar Rice using Back Propagation Neural Network 
    Win, Thu Zar; Khaing, Wint Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Neural networks(NN) are a very popular data mining, classification, and image-processing tool.In this paper, neural network model is used to classify the specific features of rice. The purpose of rice grading is to ...

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