CHO Nilarphyo

写真a

Affiliation

Engineering educational research section Information and Communication Technology Program 

Title

Assistant Professor

Contact information

Contact information

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Degree 【 display / non-display

  • Doctor of Philosophy ( 2019.9   Interdisciplinary Graduate School of Agriculture and Engineering, University of Miyazaki )

  • Master of Computer Sciences ( 2013.3   University of Computer Studies, Yangon )

  • Bachelor of Computer Sciences (Hons.) ( 2010.10   University of Computer Studies, Yangon )

  • Bachelor of Computer Sciences ( 2009.10   University of Computer Studies, Yangon )

Research Areas 【 display / non-display

  • Informatics / Robotics and intelligent system  / Image Processing Technology

  • Informatics / Robotics and intelligent system  / Computer Vision

 

Papers 【 display / non-display

  • A study on machine learning approaches for predicting fetal pH level using fetal heart rate variability Reviewed

    Cho Nilar Phyo, Pyke Tin and Thi Thi Zin

    ICIC Express Letters, Part B: Applications   2024.9

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    Publishing type:Research paper (scientific journal)  

  • A Markov Chain Model for Determining the Optimal Time to Move Pregnant Cows to Individual Calving Pens. Reviewed

    Cho Nilar Phyo, Pyke Tin and Thi Thi Zin

    Sensors (Basel, Switzerland)   23 ( 19 )   2023.9

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.3390/s23198141

    PubMed

  • Deep learning for recognizing human activities using motions of skeletal joints Reviewed

    Cho Nilar Phyo, Thi Thi Zin and Pyke Tin

    IEEE Transactions on Consumer Electronics   65 ( 2 )   243 - 252   2019.5

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    Language:English   Publishing type:Research paper (scientific journal)  

  • Complex human-object interactions analyzer using DCNN and SVM hybrid approach Reviewed

    Cho Nilar Phyo, Thi Thi Zin and Pyke Tin

    Applied Sciences (Basel, Switzerland)   9 ( 9 )   2019.5

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    Language:English   Publishing type:Research paper (scientific journal)  

  • Color and shape based method for detecting and classifying card images Reviewed

    Cho Nilar Phyo, Thi Thi Zin, Hiroshi Kamada, Takashi Toriu

    Journal of Robotics, Networking and Artificial Life   4 ( 4 )   287 - 290   2018.12

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    Publishing type:Research paper (scientific journal)  

MISC 【 display / non-display

  • Quantifying elderly walking states using keypoint data from OpenPose and image processing Reviewed

    Ryusei Tanno, Cho Nilar Phyo, Thi Thi Zin

    Proceeding of the 2025 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2025)   2025.2

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    Publishing type:Rapid communication, short report, research note, etc. (scientific journal)  

  • Vision-based person re-identification through gait recognition using long short-term memory Reviewed

    Cho Nilar Phyo, Ryusei Tanno, Thi Thi Zin, Pyke Tin

    Proceeding of the 2025 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2025)   2025.2

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    Publishing type:Rapid communication, short report, research note, etc. (scientific journal)  

  • Fusion of strategic queueing theory and AI for smart city telecommunication system Reviewed

    Thi Thi Zin, Aung Si Thu Moe, Cho Nilar Phyo, Pyke Tin

    Proceeding of the 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS)   653 - 657   2024.9

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    Language:English   Publishing type:Rapid communication, short report, research note, etc. (scientific journal)  

  • Comparative study of predicting fetal pH level based on heart rate variability Reviewed

    Cho Nilar Phyo, Tunn Cho Lwin, Pyae Phyo Kyaw, Emi Kino, Tsuyomu Ikenoue, Pyke Tin and Thi Thi Zin

    Proceeding of the 18th International Conference on Innovative Computing, Information and Control (ICICIC 2024)   2024.9

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    Authorship:Lead author   Language:English   Publishing type:Rapid communication, short report, research note, etc. (scientific journal)  

  • A Study on the analysis and classification of gait states using gait information Reviewed

    Ryusei Tanno, Thi Thi Zin, Cho Nilar Phyo

    Proceeding of the 18th International Conference on Innovative Computing, Information and Control (ICICIC 2024)   2024.9

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    Language:English   Publishing type:Rapid communication, short report, research note, etc. (scientific journal)  

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Presentations 【 display / non-display

  • SVMを用いた角度と距離特徴に基づく人の行動認識に関する研究

    Cho Nilar Phyo, Thi Thi Zin and Pyke Tin

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    Event date: 2024.2

    Presentation type:Oral presentation (general)  

  • ディープラーニングを用いた視覚ベースの侵入者検知システムに関する研究

    Cho Nilar Phyo, Thi Thi Zin and Pyke Tin

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    Event date: 2024.2

    Presentation type:Oral presentation (general)  

  • Research Experience and Student Life in Japan

    Cho Nilar Phyo

    Sakura Science Exchange Program (Online)  2022.2 

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    Event date: 2022.2

    Presentation type:Oral presentation (general)  

  • Concept of Vision Based AI Research

    Cho Nilar Phyo

    IT Seminar in Myanmar (Online)  2021.6 

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    Event date: 2021.6

    Presentation type:Oral presentation (general)  

  • Vision Based Human Action Recognition Using Deep Learning: Theory and Concept

    Cho Nilar Phyo

    University of Computer Studies, Yangon, Myanmar 

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    Event date: 2020.12

    Presentation type:Oral presentation (general)  

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Works 【 display / non-display

  • Development of Smart Video Surveillance System

    2016.1.11 - 2016.9.30

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    Work type:Software  

Awards 【 display / non-display

  • Certificate of Merit (Student)

    2018.3   2018 IAENG International Conference on Imaging Engineering  

    Cho Nilar Phyo, Thi Thi Zin, Hiroshi Kamada, Takashi Toriu

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    Award type:Award from international society, conference, symposium, etc. 

  • Certificate of Merit

    2018.3   2018 IAENG International Conference on Imaging Engineering  

    Thi Thi Zin, Cho Nilar Phyo, Pyke Tin, Hiromitsu Hama, Kobayashi, I.

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    Award type:Award from international society, conference, symposium, etc. 

Grant-in-Aid for Scientific Research 【 display / non-display

  • Enhanced AI-Driven Image Analysis for Early Mycoplasma Detection in Dairy Calves for innovations in Livestock Health Management

    Grant number:25K15232  2025.04 - 2026.03

    Pyke Tin

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    Authorship:Principal investigator