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Showing 1 - 20 results of 9,870 for search '(((( element network algorithm ) OR ( element data algorithm ))) OR ( data using algorithm ))', query time: 0.55s Refine Results
  1. 1
    ML algorithms in cyber security.

    ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

    Published 2025
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  2. 2
    Comparison of different optimization algorithms.

    Comparison of different optimization algorithms. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  3. 3
    Flowchart of DQN algorithm.

    Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

    Published 2025
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  4. 4
    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40).

    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

    Published 2025
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  5. 5
    Folder with all data and algorithms

    Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

    Published 2025
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  6. 6
    The run time for each algorithm in seconds.

    The run time for each algorithm in seconds. by Edward Antonian (21453161)

    Published 2025
    “…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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  7. 7
    A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Proportional, <i>P</i>), or unconstrained (Equiprobable, <i>E</i>).

    A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

    Published 2024
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  8. 8
    Deep attention network architecture for arrhythmia classification.

    Deep attention network architecture for arrhythmia classification. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  9. 9
    The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset.

    The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

    Published 2025
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  10. 10
    Algorithmic experimental parameter design.

    Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

    Published 2024
    “…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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  11. 11
    Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification.

    Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

    Published 2025
    “…<p>In the top panel, we show the computation of the Fitness and Complexity algorithm. The Fitness of the entity <i>e</i><sub>1</sub> is the technological Complexity sum of all the technology done by <i>e</i><sub>1</sub>. …”
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  12. 12
    Spatial spectrum estimation for three algorithms.

    Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

    Published 2024
    “…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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  13. 13
    Pareto optimal front result of MOCOA.

    Pareto optimal front result of MOCOA. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  14. 14
    Confusion matrix.

    Confusion matrix. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  15. 15
    Different patterns of electrocardio signals with Gaussian noise.

    Different patterns of electrocardio signals with Gaussian noise. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  16. 16
    Sensitivity analysis of parameter K and in VMD.

    Sensitivity analysis of parameter K and in VMD. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  17. 17
    Summary of key parameters and performance indices of VMD.

    Summary of key parameters and performance indices of VMD. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  18. 18
    Action potential of sample points in model 1.

    Action potential of sample points in model 1. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  19. 19
    Performance validation on the MIT-BIH database.

    Performance validation on the MIT-BIH database. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  20. 20
    Exponentially attenuated sinusoidal function.

    Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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