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  • Fault-tolerance Framework for Private Clouds Development 
    Naing, Win Win; Naing, Thinn Thu (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Cloud computing provides access to large pool of data, applications and computational resources. Many researchers have been proposed several open-source Infrastructure-asa-Service (IaaS) cloud management frameworks (e.g, ...
  • Feature based Age Prediction for Face Recognition 
    Tin, Hlaing Htake Khaung (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Face recognition is currently highly researched area of computer vision and pattern recognition. Age changes cause major variations in the appearance of human faces. In this paper, we propose a new aging scheme, which ...
  • Feature Based Myanmar Fingerspelling Image Classification Using SIFT, SURF and BRIEF 
    Aung, Ni Htwe; Thu, Ye Kyaw; Maung, Su Su (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Deaf people use Sign Language and Fingerspelling as a fundamental communication method. Fingerspelling or manual spelling is a method of spelling words using hand movements, and most often used to spell out names of ...
  • Feature Extraction and Recognition of Handwritten English Character Using Artificial Neural Network 
    Min, Ei Phyo; Thein, Yadana (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents the development of English Handwritten character recognition system, which uses local and global features of English characters by applying the concept of feature feeding. After each character is ...
  • Feature Extraction for Effective Malware Characterization in Android Malware Detection Framework 
    Kyaw, May Thu; Kham, Nang Saing Moon (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Today, mobile devices have become a widely used for personal and business purposes. Because of the popularity of mobile application, inexpensive ways for people to communicate and share information, they become the ...
  • Feature Matching Approach for 3D Reconstruction from Multiple Images 
    Thein, Khant Kyaw Kyawt; Sein, Myint Myint (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    This paper handles a robust method to handle matching problem of the 3D building from remote sensed images, where two or more images are captured from the different views without any camera information. The system is ...
  • Feature Points for Traffic Sign Detection and Recognition System Using ANFIS 
    Phu, Kay Thinzar; Oo, Lwin Lwin (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The reliable traffic sign detection provides to achieve performance in traffic sign recognition. Features representation is an important factor for TSDR system. The purpose of this research is to propose an adaptive threshold ...
  • Feature Ranking based Dimensional Reduction Algorithm in High Dimensional Data Classification 
    Saw, Thinzar; Win, Si Si Mar (ICCA, 2021-02-25)
    Features are the most important things and huge influence on machine learning models. The removing of noisy and irrelevant features causes to increase the efficiency and accuracy of the model. The recent increase in feature ...
  • Feature Selection and Map Reduce-based Neural Network Classification for Big Data 
    Shine, Chit Thu; Nyunt, Thi Thi Soe (University of Computer Studies, Yangon, 2019-03)
    Nowadays, a large amount of digital data is generated from everywhere, every second of the day. One of the challenges is the volume of generated data with high dimensionality. Most of traditional machine learning ...
  • Feature Selection and MapReduce Based Neural Network Classification for Big Data 
    Shine, Chit Thu (University of Computer Studies, Yangon, 2018-12)
    Nowadays, a large amount of digital data is generated from everywhere, every second of the day. One of the challenges is the volume of generated data with high dimensionality. Most of traditional machine learning algorithms ...
  • Feature Selection for Anomaly-Based Intrusion Detection System Using Information Gain and Mutual Correlation 
    Hlaing, Thuzar; Khine, May Aye (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    To avoid high computational costs in identifying intrusions by IDSs, the size of a dataset needs to be reduced. Feature selection is considered a problem of global combinatorial optimization in machine learning, which ...
  • Feature Selection for Classification of Kidney-Renal Failure 
    Htun, Phyu Phyu; Htun, Moe Sanda (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Several recent machines learning publication demonstrates the utility of using feature selection algorithm in supervised learning tasks. Among these, sequential feature selection algorithms are receiving attention .In the ...
  • Feature Selection For Medical Diagnosis Of Fever 
    Min, War War (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The system based on feature selection methods of artificial intelligence (AI). Artificial Intelligence becomes the major subject. Machine learning technology is one of the branches of the AI. The human brain provides ...
  • Feature Selection for Network Intrusion Detection System Using Mutual Correlation 
    Hlaing, Thuzar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    A large and growing number of web pages display contextual knowledge based on keywords automatically extracted from the text of the page and this is a substantial source of revenue supporting the web today. In addition, ...
  • Feature Selection for Rule-Based Classification of Fish Types Using Information Gain 
    Wai, Yadanar; Aye, Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Classification is a process of finding the common properties among various features and classifying them into classes.The feature selection process is very important which selects a subset of relevant features, so that ...
  • Feature Selection in Hybrid Intrusion Detection System 
    Myint, Khin Khattar; Kham, Nang Saing Moon (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    With the enormous growth of computer networks, network security is gaining increasing importance. Therefore, the role of Intrusion Detection Systems (IDSs) is becoming more important. There are many techniques ...
  • Feature Selection of Android Malware Detection and Analysis 
    Hein, Chit La Pyae Myo; Myo, Khin Mar (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Mobile malware performs malicious activities like stealing private information, sending message SMS, reading contacts can harm by exploiting data. Malware spreads around the world infects not only ends users applications ...
  • Feature-Based Opinion Mining Using Ontological Resources 
    Nyaung, Dim En (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    One of the important types of information on the Web is the opinions expressed in the user generated content, e.g., customer reviews of products, forum posts, and blogs. Customer reviews of products are focused in this ...
  • Feature-based Ranking of Opinion Mining System from Customer Reviews 
    Thein, Thin Lai Lai; Nyaung, Dim En (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Nowadays, online customer reviews become a significant informative resource due to the rapid development of web. In a webpage, the reviews are written in natural language and are unstructuredfree- texts scheme. To ...
  • Finding Association Rules from Sales Data with Apriori Algorithm 
    Thein, Shwe Sin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The association rule mining is one of the primary sub-areas in the field of data mining . This type of mining ,the association rule searches for interesting relation among item in a given data set , has been used in numerous ...

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