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Showing 1 - 20 results of 10,221 for search '(((( developing making algorithm ) OR ( movement data algorithm ))) OR ( data using algorithm ))', query time: 0.51s Refine Results
  1. 1
    The accuracy of all employed learning algorithms.

    The accuracy of all employed learning algorithms. by Quan Shao (20148209)

    Published 2024
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  2. 2
    Parameters of the machine learning algorithms used in the study.

    Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

    Published 2025
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  3. 3
    Metrics of the complex network algorithm.

    Metrics of the complex network algorithm. by Xumei Pan (21464351)

    Published 2025
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  4. 4
    Ranking of ML algorithms.

    Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

    Published 2025
    “…Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. …”
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  5. 5
    Classification accuracy of feature set 2 and feature set 3 in each algorithm.

    Classification accuracy of feature set 2 and feature set 3 in each algorithm. by Quan Shao (20148209)

    Published 2024
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  6. 6
    The overview of the ML algorithms’ flowchart.

    The overview of the ML algorithms’ flowchart. by Yasemin Ayaz Atalan (21989402)

    Published 2025
    “…Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. …”
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  7. 7
    Pseudocode of the BBAC_I Algorithm.

    Pseudocode of the BBAC_I Algorithm. by Zezhi Lin (22521663)

    Published 2025
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  8. 8
    Execution Steps of the EOF Algorithm.

    Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)

    Published 2025
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  9. 9
    Data Sheet 1_Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography.docx

    Data Sheet 1_Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography.docx by Rohit Pardasani (22253656)

    Published 2025
    “…</p>Conclusion<p>This study demonstrates the successful development of a novel AI algorithm utilizing FHR and UA data to analyze and interpret fetal tracing events and parameters. …”
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  10. 10
    Evaluation metrics of the models constructed by each algorithm.

    Evaluation metrics of the models constructed by each algorithm. by Xiaoyan Yang (259084)

    Published 2025
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  11. 11
    Analysis of single features of vehicle movement.

    Analysis of single features of vehicle movement. by Yaqin He (4627711)

    Published 2025
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  12. 12
    Phases of proposed algorithm.

    Phases of proposed algorithm. by Muhammad Abdullah (3357692)

    Published 2025
    “…An enhanced Bingzhen and Weimin model-based decision-making algorithm is developed to support intelligent diagnosis. …”
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  13. 13
    Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring

    Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

    Published 2025
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  14. 14
    Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring

    Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

    Published 2025
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  15. 15
    Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring

    Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

    Published 2025
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  16. 16
    Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring

    Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

    Published 2025
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  17. 17
    Performance comparison for different algorithms reported in terms of bootstrapped canonical correlation of each component.

    Performance comparison for different algorithms reported in terms of bootstrapped canonical correlation of each component. by Shashwat Kumar (19120858)

    Published 2025
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  18. 18
    Data Sheet 1_Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.pdf

    Data Sheet 1_Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.pdf by Jeannie K. Lee (9026981)

    Published 2025
    “…The decision support algorithm was developed through a literature review of clinical and pharmacokinetic studies and knowledge of the pharmacology of aging (pharmacokinetics and pharmacodynamics). …”
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  19. 19
    Data Sheet 2_Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.pdf

    Data Sheet 2_Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.pdf by Jeannie K. Lee (9026981)

    Published 2025
    “…The decision support algorithm was developed through a literature review of clinical and pharmacokinetic studies and knowledge of the pharmacology of aging (pharmacokinetics and pharmacodynamics). …”
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  20. 20
    Excerpts from the raw acquired data set with the tracking algorithm.

    Excerpts from the raw acquired data set with the tracking algorithm. by Hannes Benecke (17409369)

    Published 2025
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