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Showing 1 - 20 results of 6,728 for search '(((( cloud ((mean decrease) OR (_ decrease)) ) OR ( _ 30 decrease ))) OR ( i larger decrease ))', query time: 0.61s Refine Results
  1. 1
    Different ellipsoidal particles with De = 6.30 mm used in the discrete element simulations.

    Different ellipsoidal particles with De = 6.30 mm used in the discrete element simulations. by Yongfeng Zhu (7361045)

    Published 2025
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  2. 2
    Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session.

    Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session. by Cristina Dolciotti (16317330)

    Published 2025
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  3. 3
    Mean ± SD of the different parameters relative to bipedal stance on soft support with the eyes open recorded in the Chewing and Hand Grip groups.

    Mean ± SD of the different parameters relative to bipedal stance on soft support with the eyes open recorded in the Chewing and Hand Grip groups. by Cristina Dolciotti (16317330)

    Published 2025
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  4. 4
    Time course of Path Length, LFS and Velocity during postural training.

    Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  5. 5
    Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area.

    Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area. by Cristina Dolciotti (16317330)

    Published 2025
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  6. 6
    Training-induced changes in bipedal stance.

    Training-induced changes in bipedal stance. by Cristina Dolciotti (16317330)

    Published 2025
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  7. 7
    Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training.

    Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  8. 8
    Relation between training-related changes in unipedal and bipedal stance.

    Relation between training-related changes in unipedal and bipedal stance. by Cristina Dolciotti (16317330)

    Published 2025
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  9. 9
    Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS.

    Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS. by Cristina Dolciotti (16317330)

    Published 2025
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  10. 10
    Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity.

    Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity. by Cristina Dolciotti (16317330)

    Published 2025
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  11. 11
    Time course of 95% Area, X and Y Amplitude Sway during postural training.

    Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  12. 12
    Correlations between unipedal and bipedal stance parameters recorded at the beginning of the training and of the control session.

    Correlations between unipedal and bipedal stance parameters recorded at the beginning of the training and of the control session. by Cristina Dolciotti (16317330)

    Published 2025
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  13. 13
    Flow diagram.

    Flow diagram. by Cristina Dolciotti (16317330)

    Published 2025
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  14. 14
    HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters

    HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

    Published 2025
    “…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”
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  15. 15
    Point cloud fusion instance effect.

    Point cloud fusion instance effect. by Hongliang Zou (20707270)

    Published 2025
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  16. 16
    CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).

    CM-DWM-EC chart using 30% decrease in the mean for the E(KeV). by Shumaila Nisar (20114256)

    Published 2024
    “…<p>CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).</p>…”
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  17. 17
    Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2.

    Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

    Published 2025
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  18. 18
    Thematic clouds for lectures.

    Thematic clouds for lectures. by Ignacio García-Espona (21395335)

    Published 2025
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  19. 19
    Biases in larger populations.

    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…Threshold parameter <i>c</i> = − 0 . 1 for the rectified cosine tuning with 4 neurons, and width <i>w</i> was 1 for von Mises tuning. …”
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  20. 20
    Displacement cloud maps.

    Displacement cloud maps. by Maogang Tian (21485116)

    Published 2025
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