Search Results - "Tun, Thandar"

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  1. 1

    Feeding practices and nutritional status of children age 6-23 months in Myanmar: A secondary analysis of the 2015-16 Demographic and Health Survey by Mya, Kyaw Swa, Kyaw, Aung Tin, Tun, Thandar

    Published in PloS one (02-01-2019)
    “…Nutritional deficiencies are a major problem among developing countries including Myanmar. They can occur in all age groups, but the impact is more severe…”
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    Journal Article
  2. 2

    Influence of Data Length on the Determination of Data Adjustment Parameters in Conceptual Hydrological Modeling: A Case Study Using the Xinanjiang Model by Zin, Thandar Tun, Lu, Minjiao

    Published in Water (Basel) (01-10-2022)
    “…Minimum data length is vital to guarantee accuracy in hydrological analysis. In practice, it is sometimes determined by the experiences of hydrologists,…”
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    Journal Article
  3. 3

    Assessing Recession Constant Sensitivity and Its Interaction with Data Adjustment Parameters in Continuous Hydrological Modeling in Data-Scarce Basins: A Case Study Using the Xinanjiang Model by Zin, Thandar Tun, Lu, Minjiao, Ogura, Takahiro

    Published in Water (Basel) (01-01-2024)
    “…Data scarcity plays the crucial role in hydrological modeling, causing the uncertainties in hydrological model calibration and parameterization. Therefore,…”
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    Journal Article
  4. 4

    Institutional delivery and postnatal care utilisation among reproductive-aged women who had completed four or more antenatal care visits in Myanmar: a secondary analysis of 2015–2016 Demographic and Health Survey by Oo, Htun Yadanar, Tun, Thandar, Khaing, Cho Thet, Mya, Kyaw Swa

    Published in BMJ open (03-05-2023)
    “…ObjectivesTo examine the prevalence of institutional delivery and postnatal care after home delivery and to identify their determinants in Myanmar mothers who…”
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    Journal Article
  5. 5
  6. 6

    Enterprise Architecture-based Metamodel for a Holistic Business-IT Alignment View on Machine Learning Projects by Takeuchi, Hironori, Husen, Jati H., Tun, Hnin Thandar, Washizaki, Hironori, Yoshioka, Nobukazu

    “…In this study, we consider projects for developing service systems using machine learning (ML) techniques. These projects involve collaboration between various…”
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    Conference Proceeding
  7. 7

    Extensible Modeling Framework for Reliable Machine Learning System Analysis by Husen, Jati H., Washizaki, Hironori, Tun, Hnin Thandar, Yoshioka, Nobukazu, Fukazawa, Yoshiaki, Takeuchi, Hironori, Tanaka, Hiroshi, Munakata, Kazuki

    “…Machine learning system analysis requires different approaches for each different task and domain. Selecting a proper set of analytic models can be challenging…”
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    Conference Proceeding
  8. 8
  9. 9

    Enterprise architecture-based metamodel for machine learning projects and its management by Takeuchi, Hironori, Husen, Jati H., Tun, Hnin Thandar, Washizaki, Hironori, Yoshioka, Nobukazu

    Published in Future generation computer systems (01-12-2024)
    “…In this study, we consider projects for developing service systems using machine learning (ML) techniques. These projects involve collaboration between various…”
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    Journal Article
  10. 10

    Integrated multi-view modeling for reliable machine learning-intensive software engineering by Husen, Jati H., Washizaki, Hironori, Runpakprakun, Jomphon, Yoshioka, Nobukazu, Tun, Hnin Thandar, Fukazawa, Yoshiaki, Takeuchi, Hironori

    Published in Software quality journal (01-09-2024)
    “…Development of machine learning (ML) systems differs from traditional approaches. The probabilistic nature of ML leads to a more experimentative development…”
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    Journal Article
  11. 11

    Goal-Centralized Metamodel Based Requirements Integration for Machine Learning Systems by Tun, Hnin Thandar, Husen, Jati H., Yoshioka, Nobukazu, Washizaki, Hironori, Fukazawa, Yoshiaki

    “…Designing a software model using Unified Modeling Language (UML) does not fully integrate some essential model elements, including goals and non-functional…”
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    Conference Proceeding
  12. 12

    Landscape of Requirements Engineering for Machine Learning-based AI Systems by Yoshioka, Nobukazu, Husen, Jati H., Tun, Hnin Thandar, Chen, Zhenxiang, Washizaki, Hironori, Fukazawa, Yoshiaki

    “…Techniques and practices in RE are not well researched, although problems and the research challenges on requirements engineering (RE) for machine…”
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    Conference Proceeding
  13. 13

    Evaluation of The Generality of Multi-view Modeling Framework for ML Systems by Husen, Jati H., Runpakprakun, Jomphon, Chang, Sun, Washizaki, Hironori, Tun, Hnin Thandar, Yoshioka, Nobukazu, Fukazawa, Yoshiaki

    “…Multi-View Modeling Framework for ML Systems (M 3 S) provides a framework to synchronize the experimental nature of machine learning and the deterministic side…”
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    Conference Proceeding
  14. 14

    Traceable Business-to-Safety Analysis Framework for Safety-critical Machine Learning Systems by Husen, Jati H., Washizaki, Hironori, Tun, Hnin Thandar, Yoshioka, Nobukazu, Fukazawa, Yoshiaki, Takeuchi, Hironori

    “…Machine learning-based system requires specific attention towards their safety characteristics while considering the higher-level requirements. This study…”
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    Conference Proceeding
  15. 15

    Goal-Oriented Machine Learning-Based Component Development Process by Husen, Jati H., Tun, Hnin Thandar, Yoshioka, Nobukazu, Washizaki, Hironori, Fukazawa, Yoshiaki

    “…Along with the rising usage of machine learning-based (ML-based) solution, a significant amount of tools to train them has been proposed. However, there is…”
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    Conference Proceeding
  16. 16

    Business goals monitoring and control measures in CMMI by Tun, Hnin Thandar, Katayama, Tetsuro, Yamamori, Kunihito, Oo, Khine Khine

    “…Business goals monitoring and control measures are important process to achieve the target of business systematically in specified business area or project…”
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    Conference Proceeding