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values decrease » values increased (Expand Search), largest decrease (Expand Search)
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Showing 1 - 20 results of 6,192 for search '(((( cloud ((data decrease) OR (a decrease)) ) OR ( _ cnn decrease ))) OR ( _ values decrease ))', query time: 0.65s Refine Results
  1. 1
    Thematic clouds for lectures.

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

    Published 2025
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  2. 2
    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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  3. 3
    Point cloud fusion instance effect.

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

    Published 2025
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  4. 4
    Comparison of position trajectories and truth values of different algorithms.

    Comparison of position trajectories and truth values of different algorithms. by Hongliang Zou (20707270)

    Published 2025
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  5. 5
    Comparison of position trajectories and truth values of different algorithms.

    Comparison of position trajectories and truth values of different algorithms. by Hongliang Zou (20707270)

    Published 2025
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  6. 6
    Thematic cloud for posters [2013-23].

    Thematic cloud for posters [2013-23]. by Ignacio García-Espona (21395335)

    Published 2025
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  7. 7
    TITAN decreaser diatom heatmap.

    TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

    Published 2025
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  8. 8
    CNN model.

    CNN model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
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  9. 9
    Schematic diagram of time stamp synchronization between LIDAR and camera in a multi-sensor system.

    Schematic diagram of time stamp synchronization between LIDAR and camera in a multi-sensor system. by Hongliang Zou (20707270)

    Published 2025
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  10. 10
    Positioning errors of different algorithms on the a multi-modal and multi-scenario dataset for ground robots dataset.

    Positioning errors of different algorithms on the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

    Published 2025
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  11. 11
    Specific parameters of the test sequence in the a multi-modal and multi-scenario dataset for ground robots dataset.

    Specific parameters of the test sequence in the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

    Published 2025
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  12. 12
    CNN Model Architecture.

    CNN Model Architecture. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
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  13. 13
    Displacement cloud maps.

    Displacement cloud maps. by Maogang Tian (21485116)

    Published 2025
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  14. 14
    Analysis of tea output value distribution and growth- decrease rate of provinces.

    Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

    Published 2024
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  15. 15
    Flowchart of Proposed SMO_CNN.

    Flowchart of Proposed SMO_CNN. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
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  16. 16
    CNN Model Layers Summary.

    CNN Model Layers Summary. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
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  17. 17
    Decrease in loss during the training process.

    Decrease in loss during the training process. by Muhammad Idrees (92773)

    Published 2025
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  18. 18
    CNN-LSTM action recognition process.

    CNN-LSTM action recognition process. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
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  19. 19
    TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of number of stressor responses.

    TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

    Published 2025
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  20. 20
    Performance Results of Proposed SMO_CNN Model.

    Performance Results of Proposed SMO_CNN Model. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
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