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Showing 1 - 20 results of 9,726 for search '(((( image 1_modeling algorithm ) OR ( data using algorithm ))) OR ( movement data algorithm ))', query time: 0.69s 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
    Metrics of the complex network algorithm.

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

    Published 2025
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  3. 3
    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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  4. 4
    Pseudocode of the BBAC_I Algorithm.

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

    Published 2025
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  5. 5
    Execution Steps of the EOF Algorithm.

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

    Published 2025
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  6. 6
    Analysis of single features of vehicle movement.

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

    Published 2025
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  7. 7
    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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  8. 8
    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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  9. 9
    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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  10. 10
    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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  11. 11
    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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  12. 12
    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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  13. 13
    Overview over the different datasets and how they were used in this study.

    Overview over the different datasets and how they were used in this study. by Marc Weitz (8131560)

    Published 2025
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  14. 14
    Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image size of 1024 × 1024 pixels. The reported results are based on five independent replicates.

    Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image... by Xiaoke Liu (11388323)

    Published 2025
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  15. 15
    Demographic data of the used datasets.

    Demographic data of the used datasets. by Taslima Khanam (9739867)

    Published 2025
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  16. 16
    Data of leg-2.

    Data of leg-2. by Hongjun Meng (5031806)

    Published 2025
    “…Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  17. 17
    Data of leg-1.

    Data of leg-1. by Hongjun Meng (5031806)

    Published 2025
    “…Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  18. 18
    Quantity of data sources.

    Quantity of data sources. by Christina Halmich (21637790)

    Published 2025
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  19. 19
    Data augmentation methods.

    Data augmentation methods. by Christina Halmich (21637790)

    Published 2025
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  20. 20
    A sinogram of the test sample before and after the dejitter algorithm.

    A sinogram of the test sample before and after the dejitter algorithm. by Hannes Benecke (17409369)

    Published 2025
    “…(a): The uncorrected raw data, acquired with the tracking algorithm. The sinusoidal lines appear jittery due to the irregular wobble movements of the rotation stage. …”
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