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Browsing Local Conference on Parallel and Soft Computing by Title

Browsing Local Conference on Parallel and Soft Computing by Title

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  • Latt, Tin Mg (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    This paper presents a method for detection of ECG QRS complexes using signal energy. This system reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width. In order to reduce false ...
  • Thaw, Mie Mie; Naing, Thinn (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Mobile Ad-hoc network is an autonomous system of mobile wireless nodes connected dynamically without any preexisting infrastructure. Since the nodes are mobile, the network topology changes rapidly and unpredictably ...
  • Nyaung, Dim En; Zaw, Wint Thida (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The explosive growth in data and database has generated a need for techniques and tools that can transform the processed data into useful information and knowledge that improves marketing strategy. Association rules mining ...
  • Khaing, Ei Ei Kay; Tun, Khin Mo Mo (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Classification is one of the most widely used data mining techniques with a lot of extension. Query classification is crucial for web search and advertising. Classification of web queries is important to provide search ...
  • Oo, Thaw Thaw (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Querying in Natural language is more convenient for the user than querying in SQL. This paper is intended to construct the query translation system from Natural Language to SQL. Natural Language Processing is a theoretically ...
  • Htun, Khine Ohnmar; Phyu, Win Lei Lei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data warehouses must have efficient Online Analysis Processing (OLAP) that provides tools to satisfy the information needs of business managers, helping then to make faster and more effective decisions. The increasing use ...
  • Phyu, Su Lei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A temporal database is a database with built-in time aspects or a temporal data model and a temporal version of structured query language. More specifically the temporal aspects usually include valid time and transaction ...
  • Khine, Khin May (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Driver Fatigue detection is an important role in transportation for safety system. Driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries and deaths. This thesis ...
  • Aung, Win Sandar; Thein, Yadana (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Today, the smart surveillance security system is controlled automatically not only in the business environment but also in the personal home security management. The integration of the Arduino and the Android based ...
  • Oo, Tin Nilar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The reassembly of fragments to reconstruct images or objects is a problem often encountered in several applications, ranging from archaeology to medicine. In this paper, a method is proposed for reassembling two fragments. ...
  • Khine, May Thin Thin; Aung, Khaing Khaing (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The World Wide Web information grows explosively in the Internet and people encounter problem to pick some correct things from the overwhelming set of choices. The recommender systems help them choose something they ...
  • Khaing, Wai Lwin Lwin; Kalayar, Nan Saw (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, the world is in knowledge age. Variety of new technologies and supports are being evolved for education. One of the most well known systems is recommendation system. Recommender system uses the opinions of a ...
  • Swe, Thuzar; Win, Thinn Thinn (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Recommender System generates meaningful recommendations to users for items or products that might be interesting for them. It can help people to find interesting things and is widely used with the development of ...
  • Aung, Thiri; Htoon, Ei Chaw (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender system applies knowledge of discovery technique to the problem of making personalized recommendations for information, products, or services. In this paper, an effective framework for combining content and ...
  • Hlaing, Nan Yu; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems are programs which attempt to predict items that a user may be interest in. Recommender systems acts personalized decision guides, aiding users in decisions on matter related to personal taste. Recommender ...
  • Phyu, Su Pwint; Thein, Lay Myat Myat (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Information filtering systems, which recommend appropriate information to users from enormous amount of information, are becoming popular. Recommender systems are programs which attempt to predict items that a user may ...
  • Aein, Hsu Pan; Win, Thandar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Recommender Systems are software tools and techniques providing suggestions for items to be of use to a user. Recommder systems have proven to be valuable means for online users to cope with the information overload and ...
  • Oo, Nwe Ni; Kham, Nang Saing Moon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Recommender systems use the opinions of a community of users to help individuals in that community more effectively identify content of interest from a potentially overwhelming set of choices. One of the most successful ...
  • Aung, Hninn Mar; Chan, Wint Nyein (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Multi-agent Recommender System exploits a collection of interacting agents jointly executing the recommendation generation process. Each agent processes part of the recommendation and/or the interaction, and the established ...
  • Soe, Cherry; Khaing, Thet Thet (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The tremendous growth in the amount of available information and the number of visitors to Web sites in recent years poses some key challenges for recommender systems. Recommender systems form a specific type of information ...

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