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Showing 1 - 20 results of 155 for search '(( relevant doses algorithm ) OR ((( element learner algorithm ) OR ( neural coding algorithm ))))', query time: 0.48s 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
    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
    “…<h3><b>Abstract</b></h3><p dir="ltr">TIR-Learner is an ensemble pipeline for Terminal Inverted Repeat (TIR) transposable elements annotation, which combines homology-based detection, de novo tools and convolutional neural network to classify candidate sequences into five major TIR superfamilies. …”
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  4. 4
    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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  5. 5
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  6. 6
    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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  7. 7
    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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  8. 8
    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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  9. 9
    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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  10. 10
    code_4

    code_4 by Olga Ovtsarenko (20432033)

    Published 2024
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  11. 11
    The genetic algorithm.

    The genetic algorithm. by Viktoria Zemliak (19500335)

    Published 2025
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  12. 12
    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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  13. 13
    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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  14. 14
    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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  15. 15
    Comparison of optical and silicon-based neural network implementations.

    Comparison of optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

    Published 2024
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  16. 16
    Hardware_code.

    Hardware_code. by Mehdi Nadiri Andabili (22097275)

    Published 2025
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  17. 17
    Software_code.

    Software_code. by Mehdi Nadiri Andabili (22097275)

    Published 2025
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  18. 18
    Pseudo code.

    Pseudo code. by Xuwei Liu (6034592)

    Published 2025
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  19. 19
    Temporal response patterns determined by the GMM clustering algorithm across varying primary stimulus parameters (amplitude or onset ramp velocity) of all test stimuli.

    Temporal response patterns determined by the GMM clustering algorithm across varying primary stimulus parameters (amplitude or onset ramp velocity) of all test stimuli. by Dinh K. Tang (20469082)

    Published 2024
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  20. 20
    Source Code and Dataset

    Source Code and Dataset by Swathi Ganesan (14394924)

    Published 2025
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