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Showing 1 - 20 results of 1,375 for search '(((( element te algorithm ) OR ( component data algorithm ))) OR ( neural coding algorithm ))', query time: 0.60s Refine Results
  1. 1
    Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets.

    Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets. by Reyhane Ahmadi (14857363)

    Published 2024
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  2. 2
    The main components and data flow of the proposed algorithm.

    The main components and data flow of the proposed algorithm. by Raed Alharthi (18340157)

    Published 2025
    “…<p>The main components and data flow of the proposed algorithm.</p>…”
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  3. 3
    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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  4. 4
    Data and code resources.

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

    Published 2025
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  5. 5
    The material characteristics of the components.

    The material characteristics of the components. by Shangyang Jin (21772466)

    Published 2025
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  6. 6
    The simulation of OSCNN involves loading data from a laser and SLM and simulating different optical free space components.

    The simulation of OSCNN involves loading data from a laser and SLM and simulating different optical free space components. by Reyhane Ahmadi (14857363)

    Published 2024
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  7. 7
    Variance component estimation for GWAS data.

    Variance component estimation for GWAS data. by Evan Gorstein (20553314)

    Published 2025
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  8. 8
    Mapping between textual description and Algorithm 1 components.

    Mapping between textual description and Algorithm 1 components. by Adel Alshamrani (22022154)

    Published 2025
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  9. 9
    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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  10. 10
    Variance component estimation for gene expression data.

    Variance component estimation for gene expression data. by Evan Gorstein (20553314)

    Published 2025
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  11. 11
    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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  12. 12
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  13. 13
    Data generation algorithm.

    Data generation algorithm. by Aluwani Ramalata (21262977)

    Published 2025
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  14. 14
    Formal analysis for Algorithm 1 and Algorithm 2.

    Formal analysis for Algorithm 1 and Algorithm 2. by Amal Ezz-Eldien (20235128)

    Published 2024
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  15. 15
    Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data.

    Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. by Daniel Suárez-Barrera (22676654)

    Published 2025
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  16. 16
    Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification.

    Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. by Daniel Suárez-Barrera (22676654)

    Published 2025
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  17. 17
    Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information.

    Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information. by Daniel Suárez-Barrera (22676654)

    Published 2025
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  18. 18
    Proposed algorithm performance time with prime number algorithms.

    Proposed algorithm performance time with prime number algorithms. by Amal Ezz-Eldien (20235128)

    Published 2024
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  19. 19
    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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  20. 20
    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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