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Browsing Faculty of Computing Collection by Author "Khine, May Aye"

Browsing Faculty of Computing Collection by Author "Khine, May Aye"

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  • Hlaing, Zar Chi Su Su; Khine, May Aye (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Traveling salesman problem (TSP) is one of the most famous combinatorial optimization (CO) problems, which has wide application background. Ant Colony Optimization (ACO) is a heuristic algorithm which has been proven ...
  • 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 ...
  • Oo, Mi Khine; Khine, May Aye (IEEE 7th Global Conference on Consumer Electronics (IEEE GCCE 2018), Nara, JAPAN, 2018-10)
    Efficient extraction of useful information is a rising problem in Big data, since the amount of information being gathered across various domains grows with an increasing rate. So, it takes more time to understand ...
  • Yin, Khin Swe; Khine, May Aye (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    As companies in every industry sector around the globe have lost, stolen or leaked their sensitive data to the outside world every year, the security of confidential information is increasingly important. Remote Access ...
  • Hlaing, Khin Nilar; Khine, May Aye (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The timely procurement and delivery of materials / equipment to yard, site and assembly locations requires a huge team effort and is paramount for the successful work done for shipyards and construction sites.The ERRP ...
  • Linn, Naing; Khine, May Aye (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Security aspects come into play when it is necessary or describe to protect the information transmission. The goal of cryptography is to make it possible for two people to exchange a message in such a way that other ...
  • 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 ...
  • Myint, Aye Nandar; Khine, May Aye; Khaing, Myo Kay (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Nowadays, forecasting of exchange rates plays an important role in international economics. Additional to basic economic and financial news, investors and traders employ in their decision process technical tools to ...
  • Khine, May Aye; Wai, Ei Nyein Chan (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Among many types of security techniques, steganography is the one that used to build private communication over the public channel. This paper proposes linguistic steganography system by utilizing lossless compression ...
  • Hlaing, Hnin Ei Ei; Khine, May Aye (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Mining frequent patterns is an important component of many prediction systems. One common usage in web applications is the mining of users’ access behavior for the purpose of predicting and hence pre-fetching the web pages ...
  • Khine, May Aye; Nu, Than Than (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A linear programming model is built to explore the possibilities of optimizing farm returns, consider-ing crop activities for selected crop region. To deter-mine the optimum organization of crops, three dis-tricts in ...
  • Tun, A Me; Khine, May Aye (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Most of the countries around the Bay of Bengal are threatened by storm surges associated with severe tropical cyclones. The destruction along the coastal regions of India, Bangladesh, and Myanmar are serious due to the ...
  • Myo, Nan Kathy; Khine, May Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    The healthcare industry collects huge amount of healthcare data which, unfortunately, are not mine for discover relation and hidden information for effective decision making. Advance data mining techniques can help remedy ...
  • Win, Eaint Mon; Khine, May Aye (Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020), 2020-02-28)
    Community detection is one of the most important research area wherein invention and growth of social networks. Community is a set of members densely connected within a group and sparely connected with the other groups. ...
  • Wai, Ei Nyein Chan; Khine, May Aye (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    In today digital age, there are more demands to improve techniques for information security. One of the solutions is steganography, hiding sensitive information within innocentlooking cover media. In this paper, we ...
  • Aye, Tin Nilar; Khine, May Aye (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The process of detecting and removing database defects and duplicates is referred to as data cleaning. The fundamental issue of duplicate detection is that inexact duplicates in a database may refer to the same real ...
  • Oo, Mi Khine; Khine, May Aye (International Journal on Natural Language Computing (IJNLC), 2019-12)
    The tremendous increase in the amount of available research documents impels researchers to propose topic models to extract the latent semantic themes of a documents collection. However, how to extract the hidden topics ...
  • Hein, Pyae Sandi; Khine, May Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering (or cluster analysis) is one of the main data analysis techniques and deals with the organization of a set of objects in a multidimensional space into cohesive groups, called clusters. Each cluster contains ...

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