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  • Existence and Uniqueness of Solutions of The Quantum Hydrodynamic Model for Semiconductors 
    Theingi, Aye (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    We consider the quantum hydro - dynamic model which describes tunneling of electrons through potential barriers in semiconductor devices. The existence and uniqueness of solutions of the thermal equilibrium states of ...
  • Expectation Maximization (EM) Algorithm for Classification in Medical Disease: Tuberculosis (TB) 
    Chain, May Thazin; Tun, Zaw (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data Mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. Classification is one of the most popular data mining tasks with ...
  • Experimental Design and Analysis of Vehicle Mobility in WiFi Network 
    Win, Khin Kyu Kyu; Win, Thet Nwe; Kyaw, Kaung Waiyan (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Instead of using static nodes in wireless sensor network, implementation of hardware and mobile environment are challenges of mobile wireless sensor network. Mobile sensor nodes combined with wireless network is one ...
  • Experimentation Based on Decision Tree Induction Analysis for Hepatitis Patients 
    Sin, Min Min Shwe; Sandar, Khin; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper is about Hepatitis medical diagnosis using decision tree induction algorithm in machine learning. This paper describes experimentation of decision tree induction analysis for hepatitis patients. A chain reaction ...
  • Experiments on Implementation of Elliptic Curve Arithmetic over Complex Fields Using java BigInteger Class 
    Hla, Ni Ni; Aung, Tun Myat (Journal of Communications, 2019-04)
    Elliptic curve cryptosystems are nowadays widely used in public communication channels for network security. Their security depends on the complexity of solving the elliptic curve discrete logarithm problem. But, there ...
  • Explorations of a Bayesian Belief Network for the Simultaneous Farming of Rice and Shrimp Crops 
    Lewis, A.; Randall, M.; Koster, Stewart; Anh, N. Dieu; Burford, M.; Condon, J.; Qui, N. Van; Hiep, L. Huu; Bay, D. Van; Sammut, J. (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Efficiencies in farming practice in many parts of South East Asia can make substantial, positive differences to villages and communities. The use of automated decision-assistance tools such as Bayesian Belief Networks ...
  • Exploring Features for Myanmar Named Entity Recognition 
    Mo, Hsu Myat; Nwet, Khin Thandar; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Named Entity Recognition (NER) is the task of classifying or labeling atomic elements in the text into predefined sets of named entity categories such as Person, Location, Organization or Number. NER is also a crucial ...
  • Extended Boolean Information Retrieval System Using P-norm 
    Phyu, May The`; Oo, Ingyin (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Today, vast amounts of information are available electronically through the World-Wide- Web (www). Information Retrieval is one of the retrieval systems which is browsing through documents and searching for specific ...
  • Extracting and Classifying for Ear Recognition in Biometrics Knowledge 
    Thuzar, Myat (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Ear detection is an important part of an ear recognition system. This paper proposes ear recognition based on Gabor wavelets and Support Vector Machine (SVM). The framework has three steps. In the first step, the ear is ...
  • Extracting Community Cores in Heterogeneous Citation Network 
    Khaing, Soe Soe; Yin, Zin Mar (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    The identification of closely connected cores in a complex network has become an important feature in the area of community mining in recent years. According to the network topology, it is true that a large and complex ...
  • Extracting Information Content from Web Pages Using Block Clustering Method 
    Hlaing, Nwe Nwe; Nyunt, Thi Thi Soe (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    The World Wide Web is the main “all kind of information” repository and has been so far very successful in disseminating to humans. As web sites are getting more complicated, the construction of web information ...
  • Extracting Informative Content from Web Pages Using Content Extraction Algorithm 
    Hlaing, Yu Wai (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Apart from the main content blocks, almost all web pages on the Internet contain such blocks as navigation, copyright information, privacy notices, and advertisements, which are not related to the topic of the web page. ...
  • Extracting Patterns for Feature-based Opinion Words from Customer Reviews 
    Htay, Su Su (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Most of online Merchants sites allow customers to write comments about particular product that they have purchased. Customer reviews express opinion about products or service which are collectively referred to as customer ...
  • Extracting Patterns in Social Network by Means of Link Mining 
    Oo, Hnin Wut Yee; Aung, Than Htike (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The World Wide Web serves as a huge, widely distributed, global information service center for news, advertisements, consumer information, financial management, education, government, e-commerce, and many other information ...
  • Extracting User’s Interests from Web Log Data for Implementing Adaptive Education System 
    Hsan, Nu War; Phyu, Sabai (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    As World Wide Web is a repository of web pages and links, it provides not only useful information for the Internet users but also becomes delivery platform for searching and surfing day by day. Web personalization is ...
  • Extraction of Association Rules from Education Data 
    Chaw, Khin Ei Ei; Htun, Moe Sanda (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining concerns with developing methods for discovering knowledge from data that come from educational environment. This paper presents finding interesting patterns from educational database. Association rule mining ...
  • Extraction of Frequent Patterns from Diabetes Cluster 
    Win, Myint Swe Lai; Phyu, Win Lei Lei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data mining is the process of discovering interesting knowledge, such as patterns, associations, changes, anomalies and significant structures, from large amounts of data stored in databases, data warehouses, or other ...
  • Extraction of Informative Blocks from Myanmar Web Pages Based on Entropy Measure 
    Nyein, Swe Swe (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    With the large amount of information on the Internet, Web pages have been the potential source of information retrieval and data mining technology. Apart from the informative blocks (main blocks), a web page also ...
  • Extraction of Weather Keywords from News Topic 
    Yee, Hnin Wut; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and this is a substantial source of revenue supporting the web today. Despite the ...
  • Extraction Rules from Educational Data using FP Growth Algorithm with Correlation 
    Myat, Aye Myint; Tun, Zaw (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Educational data mining is discovering knowledge from data that come from educational environment. This paper presents finding interesting patterns from educational database. Learning how student behaviors relate to ...

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