Search alternatives:
complementary method » complementary tool (Expand Search), complementary nature (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
Showing 1 - 20 results of 9,817 for search '(((( complementary method algorithm ) OR ( movement data algorithm ))) OR ( data using algorithm ))', query time: 0.40s Refine Results
  1. 1
    The accuracy of all employed learning algorithms.

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

    Published 2024
    Save to List
    Saved in:
  2. 2
    Metrics of the complex network algorithm.

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

    Published 2025
    Subjects:
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  4. 4
    Pseudocode of the BBAC_I Algorithm.

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

    Published 2025
    Save to List
    Saved in:
  5. 5
    Execution Steps of the EOF Algorithm.

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

    Published 2025
    Save to List
    Saved in:
  6. 6
    Analysis of single features of vehicle movement.

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

    Published 2025
    Subjects:
    Save to List
    Saved in:
  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
    Subjects:
    Save to List
    Saved in:
  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
    Subjects:
    Save to List
    Saved in:
  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
    Subjects:
    Save to List
    Saved in:
  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
    Subjects:
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  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
    Subjects:
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  15. 15
    Demographic data of the used datasets.

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

    Published 2025
    Save to List
    Saved in:
  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. …”
    Save to List
    Saved in:
  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. …”
    Save to List
    Saved in:
  18. 18
    Quantity of data sources.

    Quantity of data sources. by Christina Halmich (21637790)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 19
    Data augmentation methods.

    Data augmentation methods. by Christina Halmich (21637790)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  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. …”
    Save to List
    Saved in:

Search Tools: