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Showing 141 - 160 results of 1,484 for search '(( algorithm ((brain function) OR (python function)) ) OR ( algorithm pca function ))', query time: 0.48s Refine Results
  1. 141
    Generating the PSC kernel using a double exponential function.

    Generating the PSC kernel using a double exponential function. by Alireza Ghadimi (13839874)

    Published 2022
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  2. 142
    Classification accuracy as a function of the amount of training data.

    Classification accuracy as a function of the amount of training data. by Dovilė Kurmanavičiūtė (21072549)

    Published 2025
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  3. 143
    Local magnetization and susceptibility as a function of temperature from Metropolis simulations with the global archetype model.

    Local magnetization and susceptibility as a function of temperature from Metropolis simulations with the global archetype model. by Giulio Ruffini (383994)

    Published 2023
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  4. 144
    Schematics for gmxapi operations.

    Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

    Published 2022
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  5. 145
    gmxapi usage examples.

    gmxapi usage examples. by M. Eric Irrgang (4487278)

    Published 2022
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  6. 146
    Hierarchical sparse functional principal component analysis for multistage multivariate profile data

    Hierarchical sparse functional principal component analysis for multistage multivariate profile data by Kai Wang (21246)

    Published 2020
    “…The proposed HSMFPCA employs the regression-type reformulation of the PCA and the reparameterization of the entries of eigenvectors, and enjoys an efficient optimization algorithm in high-dimensional settings. …”
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  7. 147
    Cellular heterogeneities between mouse brain cell subtypes.

    Cellular heterogeneities between mouse brain cell subtypes. by Nuray Sogunmez Erdogan (21533872)

    Published 2025
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  8. 148
    Parselmouth for bioacoustics: automated acoustic analysis in Python

    Parselmouth for bioacoustics: automated acoustic analysis in Python by Yannick Jadoul (11498813)

    Published 2023
    “…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …”
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  9. 149
    Parameters to configure the multi-staged vascularization using the PDCCO algorithm.

    Parameters to configure the multi-staged vascularization using the PDCCO algorithm. by Eduardo G. Zilves (22209247)

    Published 2025
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  10. 150
    Localized differences between major mouse brain cell types.

    Localized differences between major mouse brain cell types. by Nuray Sogunmez Erdogan (21533872)

    Published 2025
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  11. 151
    TanH, ReLU, Leaky ReLU, and ELU activation functions.

    TanH, ReLU, Leaky ReLU, and ELU activation functions. by Javier León (162217)

    Published 2020
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  12. 152
    Representative neurons and their corresponding step functions.

    Representative neurons and their corresponding step functions. by Reem Khalil (10898163)

    Published 2022
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  13. 153
    Comparison of the performance of the emulators as a function of the size of the training set (resolution) for the agent-based cellular automata (CA) model of brain tumours.

    Comparison of the performance of the emulators as a function of the size of the training set (resolution) for the agent-based cellular automata (CA) model of brain tumours. by Andreas Christ Sølvsten Jørgensen (13911723)

    Published 2022
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  14. 154
    Comparison of the performance of the emulators as a function of the size of the training set (resolution) for the agent-based cellular automata (CA) model of brain tumours.

    Comparison of the performance of the emulators as a function of the size of the training set (resolution) for the agent-based cellular automata (CA) model of brain tumours. by Andreas Christ Sølvsten Jørgensen (13911723)

    Published 2022
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  15. 155
    libEnsemble: New capabilities for coordinating dynamic ensembles of calculations

    libEnsemble: New capabilities for coordinating dynamic ensembles of calculations by John-Luke Navarro (9024008)

    Published 2023
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  16. 156
    Variations of loss functions versus epoch number.

    Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

    Published 2025
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  17. 157
    Performance of SVM model for various kernel functions.

    Performance of SVM model for various kernel functions. by Xueliang Guo (4797057)

    Published 2025
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  18. 158
    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.

    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

    Published 2025
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  19. 159
    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space

    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

    Published 2020
    “…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …”
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  20. 160
    The skeleton algorithm identifies mitochondrial density in sample images from cells.

    The skeleton algorithm identifies mitochondrial density in sample images from cells. by Margarita M. Ivanova (11604141)

    Published 2021
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