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Browsing Nineteenth International Conference On Computer Applications (ICCA 2021) by Title

Browsing Nineteenth International Conference On Computer Applications (ICCA 2021) by Title

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  • Feature Ranking based Dimensional Reduction Algorithm in High Dimensional Data Classification 
    Saw, Thinzar; Win, Si Si Mar (ICCA, 2021-02-25)
    Features are the most important things and huge influence on machine learning models. The removing of noisy and irrelevant features causes to increase the efficiency and accuracy of the model. The recent increase in feature ...
  • Historical Census Data Linkage: Graph-based Household Matching Method 
    Myint, Khin Su Mon; Naing, Win Win (ICCA, 2021-02-25)
    For each developing country, historical census population data are the most useful. It provides valuable information on a certain region of a nation. The matching historical census data means that many population census ...
  • Impact of Normalization Techniques in Microarray Data Analysi 
    Thant, Lwin May; Phyu, Sabai (ICCA, 2021-02-25)
    In a medical problem, investigation of powerful new tools is involved in essential role of high-throughput sequencing technologies. Microarray data sequencers produced a large and complex sets of data for the advancement ...
  • Improving Code Coverage for Structural Testing by using Parametric Inter-procedural Slicing 
    Aung, Myint Myitzu; Win, Kay Thi (ICCA, 2021-02-25)
    Structural testing is one of the testing techniques in software testing. It is the testing process of internal structure in the given source code by comparing the expected result and real results and finding out faults. ...
  • Improving Myanmar Image Caption Generation Using NASNetLarge and Bi-directional LSTM 
    Aung, San Pa Pa; Pa, Win Pa; Nwe, Tin Lay (ICCA, 2021-02-25)
    The main objective of this paper is to improve the automatic Myanmar captions by learning the contents of images using NASNetLarge and Bi-LSTM model. Describing the contents of an image is a complex task for machine without ...
  • Interfacing LED Dot Matrix Display with PIC16F887 Microcontroller 
    Oo, Tint Swe; Zaw, Hlaing Myo (ICCA, 2021-02-25)
    This research work is to design and implement six English letters, which stand for the name of our Degree College, Nationalities Youth Resource Development Degree College, NYRDDC. The letters are made up of acrylic sheets, ...
  • IoT Network Forensics based on Transport Layer 
    Naing, Soe Kalayar; Oo, Su Thet; Oo, Hnin Wit Yi; Lin, Phyo Yatanar; Nwe, Khin Mya; Thwin, Mie Mie Su (ICCA, 2021-02-25)
    The IoT is concerned in every part of the human beings such as medical care, education, smart cities, home automation, and many business fields. While the IoT gives a myriad of benefits, security remains the biggest issues ...
  • IoT Network Intrusion Detection Using Long Short-Term Memory Recurrent Neural Network 
    Thant, Yee Mon; Thwin, Mie Mie Su; Htwe, Chaw Su (ICCA, 2021-02-25)
    The Internet of Things (IoT) is the latest technologies for everyday physical devices which the digitally connected to the internet or each other. With the rapidly development of IoT platform, IoT have been encountered ...
  • Jobs Prediction Model based on Myanmar Labor Force Survey by using Artificial Neural Network 
    Nandar, Su; Lwin, Myint Myint (ICCA, 2021-02-25)
    Nowadays, job prediction is an essential task for every organization because of the influence of job fitting or job suitability. Job fit is a concept that refers to how well an employee is suited for his or her position ...
  • Location Tracking of Accident Detection on Expressway for Informing Nearest Rescue Service 
    Aung, Nay Win; Thein, Thin Lai Lai (ICCA, 2021-02-25)
    In order to reduce the risks related to the expressway vehicle accidents, it is considered that the timely hazard information and the prompt rescue operations are the vital elements to save the victims and users of the ...
  • Machine Learning based Digital Contact Tracing for Covid-19 in Myanmar 
    Aung, Swe Swe; Khaing, Kyawt Yin; Aung, May Phyo; Phyo, Nang Wai Wai; Aung, Darli Mying; Naing, Thinn Thu (ICCA, 2021-02-25)
    Digital contact tracing is one of supportive tools for the prevention and reduction of wide spread of the covid-19 virus. Machine learning is one of the most supportive approaches for contact tracing applications. Thus, ...
  • Machine Learning Based DoS Traffic Analysis on the Testbed Environment 
    Yi, Htay Htay; Aye, Zin May (ICCA, 2021-02-25)
    Today, malicious users are widespread and are frequently lengthening worldwide. So, network security becomes crucial in the domain of education, government, business, and other sectors with related network connections. The ...
  • Machine Learning-Based Performance Analysis for IoT Attacks in IDS 
    Khaing, Myint Soe; Aye, Zin May; Tun, Thazin (ICCA, 2021-02-25)
    Internet of Things(IoT) security is one of the main issues when executing and creating IoT platforms. The significant increment of the IoT devices in smart homes and other smart infrastructure make numerous attacks on these ...
  • Malware Attack Detection using Machine Learning Methods for IoT Smart Devices 
    Htwe, Chaw Su; Thwin, Mie Mie Su; Thant, Yee Mon (ICCA, 2021-02-25)
    The malware attacks are targeting IoT devices as the rapid development of these devices. The limited resource of IoT devices is attracting malware developers. The strong security mechanisms cannot be deployed on these ...
  • Mining Customer Churns for Banking Industry using K-means and Multi-layer Perceptron 
    Khine, Saw Thazin; Myo, Win Win (ICCA, 2021-02-25)
    Customer churns prediction is a major concern for banking industries all over the world, and market development is happening a more considerable task, and a more important challenge is taking place in business growth. The ...
  • Morse Code Audio Recognition using LSTM-CTC Model 
    Win, Arkar; San, Kyawt Kyawt (ICCA, 2021-02-25)
    In media transmission, Morse code is utilized to encode text characters as sequences of two different duration of a signal. Morse code audio is also utilized for SOS of maritime. The popular audio recognition algorithms ...
  • Moving Region-based Fast Encoding Scheme for HEVC Inter Coding 
    Tun, Ei Ei; Maung, Htoo Maung; Aramvith, Supavadee; Miyanaga, Yoshikazu (ICCA, 2021-02-25)
    This paper proposes a fast inter encoding scheme for High Efficiency Video Coding (HEVC) by utilizing a moving region (MR) to enhance the video quality of our previous scheme for HEVC. Our previous scheme modeled the coding ...
  • Multi-view Stereo Dense Reconstruction using SfM-based PMVS for Image-based Modeling (IBM) 
    Aung, Cho Cherry; Thein, Thin Lai Lai (ICCA, 2021-02-25)
    This paper intends to represent the effective Multiview stereo algorithm based on the image-based modeling (IBM). The system consists of three steps: patch initialization, expansion and filtering. In patch initialization, ...
  • Myanmar Spelling Correction Based On N-grams Model 
    Win, Thazin; Pa, Win Pa (ICCA, 2021-02-25)
    This paper describes Myanmar spelling correction intended for real-word errors and non-word errors. There are three main modules in this paper. They are error detection,candidates generation, error correction. Dictionary ...
  • MyanmarBERT:Myanmar Pre-trained Language Model using BERT 
    Win, Saw; Pa, Win Pa (ICCA, 2021-02-25)
    Myanmar language is a low-resource language as well as obtaining large-scale cleaned data for natural language processing(NLP) tasks, it is challenging and expensive with the progress in NLP. Deep learning has boosted the ...

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