Showing 1,061 - 1,080 results of 22,070 for search 'decision three (method OR methods)', query time: 0.46s Refine Results
  1. 1061

    Genomic selection optimization in blueberry: Data‐driven methods for marker and training population design by Paul Adunola, Luis Felipe V. Ferrão, Juliana Benevenuto, Camila F. Azevedo, Patricio R. Munoz

    Published 2024-09-01
    “…To this end, we used a historical blueberry (Vaccinium corymbosun L.) breeding dataset containing more than 3000 individuals, genotyped using probe‐based target sequencing and phenotyped for three fruit quality traits over several years. Our contribution in this study is threefold: (i) for the genotyping resource allocation, the use of genetic data‐driven methods to select an optimal set of markers slightly improved prediction results for all the traits; (ii) for the long‐term implication, we carried out a simulation study and emphasized that data‐driven method results in a slight improvement in genetic gain over 30 cycles than random marker sampling; and (iii) for the phenotyping resource allocation, we compared different optimization algorithms to select training population, showing that it can be leveraged to increase predictive performances. …”
    Get full text
    Article
  2. 1062
  3. 1063
  4. 1064

    Implementation of New Technologies in an Aged Care Social Day Program: Mixed Methods Evaluation by Dannielle Post, Kathleen Whitson, Gaynor Parfitt

    Published 2025-05-01
    “…MethodsObservation of technology use within the organization was conducted over a 16-week period. …”
    Get full text
    Article
  5. 1065

    A comparison of statistical methods for deriving occupancy estimates from machine learning outputs by Lydia K. D. Katsis, Tessa A. Rhinehart, Elizabeth Dorgay, Emma E. Sanchez, Jake L. Snaddon, C. Patrick Doncaster, Justin Kitzes

    Published 2025-04-01
    “…These data are often analysed using occupancy models, yet methods for integrating machine learning outputs with these models are rarely compared. …”
    Get full text
    Article
  6. 1066
  7. 1067
  8. 1068
  9. 1069

    Development and validation of an adolescent health literacy scale in Ethiopia: A mixed methods approach. by Adamu Amanu Asari, Ameyu Godesso, Zewdie Birhanu

    Published 2025-01-01
    “…This study, therefore, aims to develop and validate an adolescent HL scale tailored to the socio-cultural context of Ethiopia, to support measurement and intervention efforts.<h4>Methods</h4>This study employed a mixed methods approach, conducted in three stages between March 09, 2023 and January 25, 2024. …”
    Get full text
    Article
  10. 1070

    The investigation of reinforcement learning-based end-to-end decision-making algorithms for autonomous driving on the road with consecutive sharp turns by Tongyang Li, Jiageng Ruan, Kaixuan Zhang

    Published 2025-06-01
    “…Learning-based algorithm attracts great attention in the autonomous driving control field, especially for decision-making, to meet the challenge in long-tail extreme scenarios, where traditional methods demonstrate poor adaptability even with a significant effort. …”
    Get full text
    Article
  11. 1071
  12. 1072
  13. 1073
  14. 1074
  15. 1075

    Forecasting of commercial egg production in turkey with box-jenkins and winters exponential smoothing methods by Özlem Kaymaz

    “…<p> <b>Conclusion:</b> According to multiplicative Winter's exponential smoothing method, it is predicted that commercial egg production will increase 3.27% in 2018, 7.69% in 2019 based on the year 2017. …”
    Get full text
    Article
  16. 1076
  17. 1077
  18. 1078
  19. 1079

    Public Versus Academic Discourse on ChatGPT in Health Care: Mixed Methods Study by Patrick Baxter, Meng-Hao Li, Jiaxin Wei, Naoru Koizumi

    Published 2025-06-01
    “…ObjectiveThis study sought to explore how the general public’s views and sentiments regarding LLMs, using OpenAI’s ChatGPT as an example, differ from those of academic researchers and experts in the field, with the goal of gaining a more comprehensive understanding of the future role of LLMs in health care. MethodsWe used a hybrid sentiment analysis approach, integrating the Syuzhet package in R (R Core Team) with GPT-3.5, achieving an 84% accuracy rate in sentiment classification. …”
    Get full text
    Article
  20. 1080