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Showing 1 - 20 results of 1,296 for search '(((( component based algorithm ) OR ( elements cc3d algorithm ))) OR ( neural coding algorithm ))*', query time: 0.53s Refine Results
  1. 1
    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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  2. 2
    Comparison of power consumption in optical and silicon-based neural network implementations.

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

    Published 2024
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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
    Accuracy of different electrical and optical neural networks for various input noise levels.

    Accuracy of different electrical and optical neural networks for various input noise levels. by Reyhane Ahmadi (14857363)

    Published 2024
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  5. 5
    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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  6. 6
    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
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  7. 7
    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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  8. 8
    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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  9. 9
    Data and code resources.

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

    Published 2025
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  10. 10
    The material characteristics of the components.

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

    Published 2025
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  11. 11
    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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  12. 12
    Face recognition algorithm flow based on the PCA.

    Face recognition algorithm flow based on the PCA. by Na Lin (69470)

    Published 2025
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  13. 13
    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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  14. 14
    Flowchart of cross-domain correspondence intensity modulation algorithm.

    Flowchart of cross-domain correspondence intensity modulation algorithm. by Lei Wu (202933)

    Published 2025
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  15. 15
    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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  16. 16
    Fault diagnosis model based on Kepler algorithm and attention mechanism.

    Fault diagnosis model based on Kepler algorithm and attention mechanism. by Yu Jie Guang (22184340)

    Published 2025
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  17. 17
    Components details.

    Components details. by Yongan Feng (7345193)

    Published 2024
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  18. 18
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  19. 19
    Pseudo code.

    Pseudo code. by Xuwei Liu (6034592)

    Published 2025
    “…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …”
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  20. 20
    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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