Conferences: Recent submissions

  • Analyzing Sentiment in Student-Teacher Textual Comments Using Lexicon Based Approach 
    Aung, Khin Zezawar; Myo, Nyein Nyein (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Opinion mining, which is also known as Sentiment Analysis, is an interesting field to analyze people’s opinions, sentiments, attitudes and appraisals. There are several approaches to analyze the textual data using sentiment ...
  • Forensic Investigation on Android Social Media Applications 
    Htun, Naing Linn; Thwin, Mie Mie Su (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The popularity of social media applications has rapidly increased over the past few years. Most people use social media applications for sharing data, chatting with friends, group conversations, uploading photos and media. ...
  • Wireless Network Cracking and Penetration Testing for Link Layer Attacks 
    Aung, May Aye Chan; Thant, Khin Phyo (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    With the passage of time, attackers are getting smarter and smarter. Incident handlers and law enforcement have been forced to deal with the complexity linked in wireless technologies to manage and respond security incidents. ...
  • Syllable-based Myanmar-English Neural Machine Translation 
    Sin, Yi Mon Shwe; Soe, Khin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The paper presents the first large scale evaluation of the quality of Syllable-based Neural Machine Translation (Syllable-NMT) system for Myanmar-English pair. Neural Machine Translation (NMT) system has reached ...
  • Applying Semantic Web Usage Mining in Prediction System 
    Hsan, Nu War; Phyu, Sabai (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Due to uncontrolled exponential growth in web data, knowledge based retrieval has become a challenging task. The one viable solution to the problem is the merging of conventional web mining with semantic technologies. There ...
  • Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text 
    Moe, Swe Zin; Thu, Ye Kyaw; Hlaing, Hnin Wai Wai; Nwe, Hlaing Myat; Aung, Ni Htwe; Thant, Hnin Aye; Min, Nandar Win (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    This paper contributes the first evaluation of the quality of automatic translation between Myanmar sign language (MSL) and Myanmar written text, in both directions. Our developing MSL-Myanmar parallel corpus was used for ...
  • Web Documents Clustering Using PSO Algorithm and Ontology 
    Lwin, Wai Wai; Kham, Nang Saing Moon (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    The largest shared information source, the World Wide Web has been increasing a tremendous proliferation in the amount of information rapidly. As a result of its huge sharing and highly dynamic data, there is a ...
  • Web Content Classification using Content Features and Ant Colony Optimization Algorithm 
    Aye, Nilar; San, Pan Ei (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    The web content classification system classifies the noise or content from HTML web pages. The system proposes the Content Extraction algorithm using content features to remove the boilerplate and to extract the main ...
  • Unsupervised Dependency Parsing for Myanmar Language using Part-of-Speech Information 
    Aye, Hnin Thu Zar; Pa, Win Pa; Thu, Ye Kyaw (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In this paper, we present the preliminary experiments of unsupervised dependency parsing on raw segmented and part-of-speech (POS) tagged corpus of Myanmar language. This experiment is aimed to support building treebank ...
  • Studying Email Filtering Approach to Identify Spear Phishing Attacks 
    Mon, Ei Ei; Kham, Nang Saing Moon (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Electronic mail is used daily by millions of people to communicate around the world and it is a critical application for many businesses. Because of the fame of emails, the attackers utilize it to gather the sensitive data. ...
  • Word-based Myanmar Text-to-Speech with CLUSTERGEN 
    Hlaing, Aye Mya; Pa, Win Pa (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In Myanmar language, word information is important for the naturalness of Myanmar speech because pronunciation changes depend on word information. In this paper, Myanmar speech synthesis with word information has ...
  • Reducing the Size of Feature Set by Using Modified MCA 
    Khaing, Myo (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Reducing the size of a feature set, without altering the original representation, is an essential data processing step prior to applying a learning algorithm. The removal of irrelevant and redundant information improves ...
  • Detection and Resolution of Anaphora in Myanmar Text using A Hybrid Approach 
    Soe, Khin Theink Theink (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Anaphora Resolution is the process of resolving references to an entity from the set of referring expressions or discourse. Anaphora resolution plays an important role in the natural language understanding. It is needed ...
  • Protein Sequence Alignment using Genetic Algorithm with CCSpan Algorithm 
    Thu, Pyae Phyo; Lynn, Khin Thida (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Bioinformatics is the study and application of computational methods to life sciences data and the application of information technology to store, organize and analyze the vast amount of biological data. Protein sequence ...
  • Myanmar Spam Filtering based on Naïve Bayesian Learning Algorithm (MSFNBLA) 
    Nyo, Nyein Nyein; Kyaw, Thae Naw Naw (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Spam is one of the main problems in e-mails communication. Naïve Bayesian (NB) learning is useful algorithm for constructing Myanmar spam corpus (SCorpus) from pre-defined spam and ham e-mails. SCorpus is built on ...
  • Single-Document Myanmar Text Summarization using Latent Semantic Analysis (LSA) 
    Lwin, Soe Soe; Nwet, Khin Thandar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Due to an exponential growth in the generation of textual data, tools and mechanisms for automatic summarization of documents is needed. Text summarization is currently a major research topic in Natural Language ...
  • Modified Ant Colony Optimization Algorithm for Traveling Salesman Problem 
    Hlaing, Zar Chi Su Su (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Ant Colony Optimization (ACO) is a useful approach for finding near optimal solutions in polynomial time for Nondeterministic Polynomial time (NP) problems. Traveling salesman problem (TSP) is a typical NP hard problem ...
  • Automatic Speech Recognition on Spontaneous Interview Speech 
    Naing, Hay Mar Soe; Pa, Win Pa (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    This paper presents a spontaneous speech recognition system for Myanmar language. Automatic speech recognition (ASR) on some controlled speech has achieved almost human performance. However, the performance of spontaneous ...
  • Correlation Analysis of Maintainability Index of Server-Side Script: PHP 
    Mon, Cho Thet; Nyo, Khin Mar (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    The maintainability of any software system is quantified in terms of Maintainability Index (MI). Many research papers used MI as Maintainability indicator to validate and predict the maintainability of their proposed ...
  • Mental Tasks Signal Classification 
    War, Nu; Lwin, Zin Mar (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Electroencephalogram (EEG) signal is an important source of information for knowing brain processes. To interpret the brain activity, Matching Pursuit Based EEG signal classification is proposed. This system includes three ...

Search Repository



Advanced Search

Browse

My Account