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  • FACE MASK DETECTION BY USING CONVOLUTIONAL NEURAL NETWORK 
    LWIN, EI CHERRY (University of Computer Studies, Yangon, 2022-12)
    The proposed system is designed to classify people who is wearing face masks or not. The model used in this system is MobilenetV2, a convolutional neural network (CNN). The image dataset contains 7553 images. 3832 ...
  • Face Recognition for Biometric Security System 
    Wai, Ei Phyo; Sein, Myint Myint (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Biometrics is used for human recognition which consists of identification and verification. In an identification application, the biometric device reads a sample and compares that sample against every record or template ...
  • FACE RECOGNITION SYSTEM USING PRINCIPAL COMPONENT ANALYSIS AND BACK PROPAGATION NEURAL NETWORK 
    Win, Su Sandar (University of Computer Studies, Yangon, 2022-06)
    Face recognition is a computer application which is used to indentify or verify a person in a digital image, based on digital image processing and is an active area of research. The face recognition system proves to ...
  • Facebook for Student Success: a preliminary study 
    Gray, Heather (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Integrating the use of Facebook to support student learning and improve student success, is a challenge academics are currently facing. While this may not be crucial in an in-person setting, for students who are studying ...
  • Facial Expression Recognition System based on Geometric Feature 
    Aung, Darli Myint (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    The facial expression recognition system has been a significant field in human-computer interaction. It is a considerably challenging field to generate an intelligent computer that is able to identify and understand ...
  • Factored Machine Translation for Myanmar to English, Japanese and Vice Versa 
    Finch, Andrew; Thu, Ye Kyaw; Tamura, kihiro; Sumita, Eiichiro; Sagisaka, Yoshinori (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Factored machine translation models extend traditionalPhrase Based Statistical Machine Translation (PB-SMT) by taking into account notonly the surface form of the words, but also linguistic knowledge such as the ...
  • FAQ Finder for Computer Related Questions 
    Oo, Lwin Mar; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper presents Frequently Asked Question (FAQ) finder system that uses a natural language question based on interface to access text information sources specifically text files organized as question-answer pairs ...
  • FAQ Finder Related With Mobile Phone Questions 
    Khine, Mg Thein; Yuzana (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper describes FAQ finder system to search the user required questions. FAQ FINDER is a natural language question-answering system that uses files of frequently-asked questions as its knowledge base. FAQ FINDER ...
  • A Fast Image-Spam Filtering System using Support Vector Machine 
    Win, Zin Mar; Aye, Nyein (Thirteenth International Conference On Computer Applications (ICCA 2015), 2015-02-05)
    The explosion of Image spam emails has prompted the development of numerous spam filtering techniques. This paper proposes an efficient image spam filtering system using three methods. The first method, File ...
  • Fault Recovery Using Low-Energy Adaptive Clustering Hierarchy Protocol in Wireless Sensor Networks 
    Zaw, Win; Min, Hla Yin (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Wireless sensor network (WSN) are becoming more attractive due to the low cost deployment, small size, low energy consumption and simple operation. Sensors energy cannot support long haul communication as changing energy ...
  • Fault Tolerance System based on Asynchronous Virtual Machine Replication 
    Tun, Thant Zin (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Virtualization is a key piece of modern data center design. Virtualization provides the possibility of whole machine migration and thus enables a new form of fault tolerance. A replication mechanism is proposed to provide ...
  • Fault-tolerance Framework for Private Clouds Development 
    Naing, Win Win; Naing, Thinn Thu (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Cloud computing provides access to large pool of data, applications and computational resources. Many researchers have been proposed several open-source Infrastructure-asa-Service (IaaS) cloud management frameworks (e.g, ...
  • Feature based Age Prediction for Face Recognition 
    Tin, Hlaing Htake Khaung (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Face recognition is currently highly researched area of computer vision and pattern recognition. Age changes cause major variations in the appearance of human faces. In this paper, we propose a new aging scheme, which ...
  • Feature Based Myanmar Fingerspelling Image Classification Using SIFT, SURF and BRIEF 
    Aung, Ni Htwe; Thu, Ye Kyaw; Maung, Su Su (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Deaf people use Sign Language and Fingerspelling as a fundamental communication method. Fingerspelling or manual spelling is a method of spelling words using hand movements, and most often used to spell out names of ...
  • Feature Extraction and Recognition of Handwritten English Character Using Artificial Neural Network 
    Min, Ei Phyo; Thein, Yadana (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents the development of English Handwritten character recognition system, which uses local and global features of English characters by applying the concept of feature feeding. After each character is ...
  • Feature Extraction for Effective Malware Characterization in Android Malware Detection Framework 
    Kyaw, May Thu; Kham, Nang Saing Moon (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Today, mobile devices have become a widely used for personal and business purposes. Because of the popularity of mobile application, inexpensive ways for people to communicate and share information, they become the ...
  • Feature Matching Approach for 3D Reconstruction from Multiple Images 
    Thein, Khant Kyaw Kyawt; Sein, Myint Myint (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    This paper handles a robust method to handle matching problem of the 3D building from remote sensed images, where two or more images are captured from the different views without any camera information. The system is ...
  • Feature Points for Traffic Sign Detection and Recognition System Using ANFIS 
    Phu, Kay Thinzar; Oo, Lwin Lwin (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The reliable traffic sign detection provides to achieve performance in traffic sign recognition. Features representation is an important factor for TSDR system. The purpose of this research is to propose an adaptive threshold ...
  • 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 ...
  • Feature Selection and Map Reduce-based Neural Network Classification for Big Data 
    Shine, Chit Thu; Nyunt, Thi Thi Soe (University of Computer Studies, Yangon, 2019-03)
    Nowadays, a large amount of digital data is generated from everywhere, every second of the day. One of the challenges is the volume of generated data with high dimensionality. Most of traditional machine learning ...

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