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Showing 1 - 20 results of 316 for search '(((( element processing algorithm ) OR ( element te algorithm ))) OR ( neural coding algorithm ))', query time: 0.49s Refine Results
  1. 1
    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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  2. 2
    Data and code resources.

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

    Published 2025
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  3. 3
    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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  4. 4
    TIR-Learner v3: New generation TE annotation program for identifying TIRs

    TIR-Learner v3: New generation TE annotation program for identifying TIRs by Tianyu Lu (18856792)

    Published 2025
    “…The old TIR suffers from slow execution on large genomes due to intense I/O operations and less efficient algorithms, it also lacks maintainability due to legacy dependency issues. …”
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  5. 5
    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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  6. 6
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  7. 7
    Stress Nephogram of the Splitting Specimen Process.

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

    Published 2025
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  8. 8
    Flowchart of Random Aggregate Placement Process.

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

    Published 2025
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  9. 9
    Comparison of different optimization algorithms.

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

    Published 2025
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  10. 10
    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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  11. 11
    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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  12. 12
    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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  13. 13
    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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  14. 14
    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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  15. 15
    code_4

    code_4 by Olga Ovtsarenko (20432033)

    Published 2024
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  16. 16
    Schematic diagram of the experimental algorithm.

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

    Published 2025
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  17. 17
    The genetic algorithm.

    The genetic algorithm. by Viktoria Zemliak (19500335)

    Published 2025
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  18. 18
    Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli.

    Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

    Published 2024
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  19. 19
    Code for "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset"

    Code for "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset" by Yufeng Ke (16539882)

    Published 2025
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  20. 20
    The folder containing the code is provided as supportive documentation associated with this paper.

    The folder containing the code is provided as supportive documentation associated with this paper. by Quxi Kuang (22493270)

    Published 2025
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