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  • Building Word-Aligned Bilingual Corpus for Statistical Myanmar-English Translation 
    Nwet, Khin Thandar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    In recent years statistical word alignment models have been widely used for various Natural Language Processing (NLP) problems. In this paper we describe our work in constructing an aligned English-Myanmar parallel ...
  • Business Process Modeling for Web-services Orchestration 
    Phyu, Khaing May; Saw, Nang Tom Howm (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The concept of a Service-Oriented Architecture (SOA) is the latest design paradigm for IT systems. The aim is to use Web services as the basic building blocks, which provide reusable functionalities that are invocable ...
  • Buyer Interface System for Electronic Shopping Assistant 
    Khaing, Aye Aye; Khaing, Daw (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Most of the electronic stores have a problem when interacting with their customer to sell the goods. They have to make a lot of conversation with customer, discussing the requirement of the customer and the availability ...
  • CACHE COHERENCY CONTROL BY USING MOESI PROTOCOL IN ONLINE DOCTOR APPOINTMENT 
    Zaw, Thura (University of Computer Studies, Yangon, 2022-09)
    The rapidly growth of internet and the World Wide Web have made the possible for millions of users to gain access to geographically distributed web content. However, raising the population of online users and the ...
  • Camera Shopping Data Analysis using OLAP Model 
    Wai, Soe Nu; Cho, Aung (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, many commercil products and services are available, and all of the principal database management system vendors now have offering in business areas. Readity available high-quality information is very important ...
  • Cancer Diagnosis Using K-Means Clustering 
    Mon, Aye Chan (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The proliferation, ubiquity and increasing power of computer technology has aided data collection, processing, management and storage. However, the captured data needs to be converted into information and knowledge to ...
  • THE CAR INSURANCE CLAIM PREDICTION SYSTEM BY USING MACHINE LEARNING ALGORITHMS ON APACHE SPARK PLATFORM 
    Ko, Thein Than (University of Computer Studies, Yangon, 2023-05)
    Car insurance companies face a major challenge in dealing with insurance claims, which are prone to fraud and increasing in volume. This makes it difficult for insurers to classify claims during the review process. To ...
  • Car Park Control System by Microcontroller 
    Htun, Kay Khine (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    PIC microcontroller has become a real powerhouse with regards to available support. In many ways, the PIC microcontroller has more support available than other electronic devices. Microcontroller is a complete computer ...
  • Cardiac Diagnosis based ECG Images Classification System using Convolution Neural Network 
    Tun, Zin Mar; Khine, May Aye (ICCA, 2021-02-25)
    Electrocardiogram (ECG) is a widely-used for the diagnosis of heart disease and the cardiac arrhythmia classification for an efficient clinical approach. The ECG has the random signal nature. Thus, acquiring the accurate ...
  • A Cascaded Approach to Text Normalization for Email Data Cleaning 
    Theint, Aye Aye; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Email is one of the commonest modes of communication via text. By using email, people are sending and receiving many messages per day and communicating with partners and friends. Most of email data is very noisy. Thus, ...
  • A Case Base Travel Advisory System for Personalization 
    Thin, Ei Ei; Mar, Win (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Web personalization and one to one marketing have been introduced as strategy and marketing tools. By using historical and present information of customers, organization can learn, predicts customer’s behavior and develop ...
  • 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 ...

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