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Showing 1 - 20 results of 356 for search '(((( element each algorithm ) OR ( element processing algorithm ))) OR ( neural coding algorithm ))', query time: 0.43s Refine Results
  1. 1
    The run time for each algorithm in seconds.

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

    Published 2025
    “…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…”
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  2. 2
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
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  3. 3
    Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4

    Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 by Berith Atemoztli De la Cruz Sánchez (21758708)

    Published 2025
    “…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. …”
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  4. 4
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
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  5. 5
    Process followed to develop and validate the MAMELI algorithm.

    Process followed to develop and validate the MAMELI algorithm. by Valentina Bollati (106778)

    Published 2025
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  6. 6
    Flowchart of the study.

    Flowchart of the study. by Usman Haider (12630481)

    Published 2025
    “…The RF chain is made to keep the beamforming weights of subarray antenna elements in a TDM fashion. In this paper, two dynamic clustering algorithms are proposed. …”
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  7. 7
    Channel capacity of MIMO system with variable .

    Channel capacity of MIMO system with variable . by Usman Haider (12630481)

    Published 2025
    “…The RF chain is made to keep the beamforming weights of subarray antenna elements in a TDM fashion. In this paper, two dynamic clustering algorithms are proposed. …”
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  8. 8
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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  9. 9
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  10. 10
    Stress Nephogram of the Splitting Specimen Process.

    Stress Nephogram of the Splitting Specimen Process. by Nan Ru (9594384)

    Published 2025
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  11. 11
    Flowchart of Random Aggregate Placement Process.

    Flowchart of Random Aggregate Placement Process. by Nan Ru (9594384)

    Published 2025
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  12. 12
    Comparison of different optimization algorithms.

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

    Published 2025
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  13. 13
    ROC curve for each ML algorithm.

    ROC curve for each ML algorithm. by Caroline L. Alves (14271413)

    Published 2024
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  14. 14
    The optimal number of clusters identified using the GMM clustering algorithm.

    The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  15. 15
    Optimal number of clusters identified using the GMM clustering algorithm.

    Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  16. 16
    Impact of multiunit merging on neural information encoding.

    Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

    Published 2025
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  17. 17
    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"

    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

    Published 2024
    “…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”
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  18. 18
    Convergence curve of the DBO algorithm.

    Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

    Published 2025
    “…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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  19. 19
    code_4

    code_4 by Olga Ovtsarenko (20432033)

    Published 2024
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  20. 20
    Schematic diagram of the experimental algorithm.

    Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

    Published 2025
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