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Showing 1 - 20 results of 64 for search '(( binary fast based optimization algorithm ) OR ( primary data access optimization algorithms ))', query time: 0.94s Refine Results
  1. 1
    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>.

    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>. by Benjamin Gallois (10131683)

    Published 2021
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  2. 2
    Homomorphic binary tree.

    Homomorphic binary tree. by Jianhua He (341366)

    Published 2024
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  3. 3
    A new fast filtering algorithm for a 3D point cloud based on RGB-D information

    A new fast filtering algorithm for a 3D point cloud based on RGB-D information by Chaochuan Jia (7256237)

    Published 2019
    “…This method aligns the color image to the depth image, and the color mapping image is converted to an HSV image. Then, the optimal segmentation threshold of the V image that is calculated by using the Otsu algorithm is applied to segment the color mapping image into a binary image, which is used to extract the valid point cloud from the original point cloud with outliers. …”
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  4. 4
    Proposed Algorithm.

    Proposed Algorithm. by Hend Bayoumi (22693738)

    Published 2025
    “…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”
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  5. 5
    OneDataShare: Data Transfer Optimization as a Service - Talk

    OneDataShare: Data Transfer Optimization as a Service - Talk by Tevfik Kosar (8399697)

    Published 2020
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  6. 6
    OneDataShare: Data Transfer Optimization as a Service - Poster

    OneDataShare: Data Transfer Optimization as a Service - Poster by Tevfik Kosar (8399697)

    Published 2020
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  7. 7
    Comparisons between ADAM and NADAM optimizers.

    Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

    Published 2025
    “…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”
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  8. 8
    Comparative analysis of DDcGAN-GSOM’s True Positive Rate, False Alarm Rate, and Specificity.

    Comparative analysis of DDcGAN-GSOM’s True Positive Rate, False Alarm Rate, and Specificity. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  9. 9
    Architecture of proposed system model.

    Architecture of proposed system model. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  10. 10
    F1-score analysis of DDcGAN-GSOM with existing methods.

    F1-score analysis of DDcGAN-GSOM with existing methods. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  11. 11
    Accuracy analysis of DDcGAN-GSOM with existing techniques.

    Accuracy analysis of DDcGAN-GSOM with existing techniques. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  12. 12
    Network simulation of the proposed method.

    Network simulation of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  13. 13
    Simulation parameters of SDN network.

    Simulation parameters of SDN network. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  14. 14
    Generator loss of the proposed method.

    Generator loss of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  15. 15
    Simulation parameters of DDcGAN.

    Simulation parameters of DDcGAN. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  16. 16
    Throughput analysis of DDcGAN-GSOM with prevailing approaches.

    Throughput analysis of DDcGAN-GSOM with prevailing approaches. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  17. 17
    Performance metrics.

    Performance metrics. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  18. 18
    Performance comparison of proposed system with state-of-the-art approaches.

    Performance comparison of proposed system with state-of-the-art approaches. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  19. 19
    Schematic representation of univariate ensemble-based feature selection.

    Schematic representation of univariate ensemble-based feature selection. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  20. 20
    Energy consumption analysis of DDcGAN-GSOM with existing approaches.

    Energy consumption analysis of DDcGAN-GSOM with existing approaches. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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