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  • Case Based Reasoning System for Diagnosing Gastric and Intestinal Diseases 
    Win, Cho Ei Mon (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Case Based Reasoning is a problem solving method which can generate the solution of a new problem by retrieving a solution of a previous similar case. In Case Base Reasoning Systems, old cases are used by an algorithm to ...
  • Case –Based Reasoning (CBR) Based on Fuzzy Set Approach For Rainfall Prediction 
    Soe, Nang Nwe Nwe; Win, Khin May (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Rainfall predictions and warnings are the most important services provided by the meteorological profession. Predictions are used by government and industry to protect life and to improve the efficiency of operations, and ...
  • Case-Based Reasoning Applied to Employee Search 
    Kyaw, Thein Gi; Tun, Myint Thu Zar (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Expert System is a high performance problem solving capable of simulating human expertise in domain. A case-based reasoning (CBR) is an approach that allows one to solve a new problem using or adapting a solution of ...
  • Case-Based Reasoning for Classification of Acute Poisoning 
    Aung, Myat Soe; Kham, Nang Saing Moon (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Case based reasoning (CBR) is very important subfield of artificial intelligence which is growing rapidly. CBR based applications are used very commonly in many different fields. In this paper, we present classification ...
  • Case-Based Reasoning for Protein Sequence Classification 
    Wai, Phyo Min; Han, Ei Ei (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    The special advantage of CBR is that a case can be a very convenient means of capturing knowledge, especially in weak theory domain where the relationship between case and effects may not be well understood. In this purpose ...
  • Case-Based Reasoning System for Car Fault Diagnosis 
    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 ...
  • Case-Based Reasoning System for Chronic Obstructive Pulmonary Disease 
    Soe, Zun Myat Myat; Htike, Thin Thin; Min, Mar Mar (National Journal of Parallel and Soft Computing, 2019-03)
    Case-Based Reasoning (CBR) is the process of solving new problems based on the solution of similar past problems. The system stores the knowledge of medical experts and the medical records of the previous cases. In ...
  • Categorization of Academic Performance for improving E-education 
    Wai, Htet Su; Lwin, Mar Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The use of web interfaces across organizations’ applications for cooperating and supporting has come to a dramatic increase in number of users to get effective systems. Current Web technologies employed to build up web ...
  • Categorization of computer science papers using random forest 
    Oo, Zin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Automatic categorization of text document is difficult and time consuming. This thesis proposed a method for automatic categorization of computer science paper using random forest classifier. Decision trees are widely ...
  • Centralized Peer-to-Peer Courseware Sharing System for UCS 
    Win, Thin Su Su; San, Kalyar Myo (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Today, thanks to the development of a number of advanced P2P file sharing applications, the reach and scope of peer networks has increased dramatically. Moreover, Centralized application architecture also become important ...
  • Change Detection of the Building Areas in Urban regions 
    Aung, Thida; Moe, Khaing Cho; Sein, Myint Myint (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Myanmar is exposed to a number of natural hazards, some of which have caused devastating damage in the recent past. According to the UN Risk Model, Myanmar ranks as the ‘most at risk’ country for natural disasters. ...
  • Checkpoint/Restart System for Private Cloud Development 
    Naing, Win Win; Naing, Thinn Thu (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Cloud computing provides access to large pool of data, applications and computational resources. Many researchers have been proposed several open-source private cloud management frameworks (e.g., Eucalyptus, Nimbus, and ...
  • Chemical Structure Searching in Chemical Compound Graph Databases 
    Thaing, Aye Nwe (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    In chemical informatics, the structure of chemical compound can be represented as graph with atoms as nodes and bonds as edges. Exact structural graph matching (automorphism), exact substructure graph matching ...
  • Chunk Tagged Corpus Creation for Myanmar Language 
    Myint, Phyu Hninn; Htwe, Tin Myat; Thein, Ni Lar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    In the applications of Natural language processing (NLP), sentence analysis is one of the important phases for machine translation systems. Currently, no mature deep analysis that has been worked done is available for ...
  • Churn Prediction Models Using Gradient Boosted Tree and Random Forest Classifiers 
    Win, Yu Yu; Vung, Cing Gel (ICCA, 2021-02-25)
    In the era of a competitive market, every organization has been used a lot of marketing techniques to maximize their profit and to preserve the existing flow of customer relationships with the firm. The cost of attracting ...
  • Classification Analysis using Back Propagation Neural Network and Radial Basis Function Neural Network 
    Lab, Ya Min Su; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Neural networks are a very popular data mining, classification and image processing tool.The fundamental concept of neural networks is the structure of the information processing system composed of a large number of ...
  • Classification and Discovery on Intra-Firewall Policy Anomalies 
    Thwin, Lae Win; Aye, Zin May (National Journal of Parallel and Soft Computing, 2019-03)
    Firewalls are core elements in network security. However, managing firewall rules is an error-prone task especially for less experience administrator. The reason is that firewall filtering rules itself might cause ...
  • Classification and Discovery on Intrafirewall Policy Anomalies 
    Thwin, Lae Win (University of Computer Studies, Yangon, 2018-06)
    Firewalls are core elements in network security. However, managing firewall rules is an error-prone task especially for less experienced administrator. The reason is that firewall filtering rules itself might cause network ...
  • Classification of Acute Upper Gastrointestinal Bleeding based on Rough Neural Network 
    Aung, Su Mon; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The main emphasize of paper is the classification of Acute upper Gastrointestinal Bleeding based on Rough neural network. Classification is used to extract model describing important and data classes or future data ...
  • Classification of Audio Events in Surveillance System using Genetic Regulatory Network 
    Kyaw, Tin Ei (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    The surveillance system at important public places in a noisy environment deals with audio events detection is essential and useful application. At surveillance systems aiming to detect abnormal situations based on ...

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