بدائل البحث:
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
element processing » fluent processing (توسيع البحث), dependent processing (توسيع البحث), plant processing (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
anc algorithm » anbs algorithm (توسيع البحث), cnn algorithm (توسيع البحث), abs algorithm (توسيع البحث)
predict anc » predict a (توسيع البحث), predict plant (توسيع البحث), predict gene (توسيع البحث)
يعرض 141 - 160 نتائج من 351 نتيجة بحث عن '(( element processing algorithm ) OR ((( predict anc algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.33s تنقيح النتائج
  1. 141
    Sensitivity analysis of parameter K and in VMD.

    Sensitivity analysis of parameter K and in VMD. حسب Hang Zhao (143592)

    منشور في 2025
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  2. 142
    Summary of key parameters and performance indices of VMD.

    Summary of key parameters and performance indices of VMD. حسب Hang Zhao (143592)

    منشور في 2025
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  3. 143
    Action potential of sample points in model 1.

    Action potential of sample points in model 1. حسب Hang Zhao (143592)

    منشور في 2025
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  4. 144
    Performance validation on the MIT-BIH database.

    Performance validation on the MIT-BIH database. حسب Hang Zhao (143592)

    منشور في 2025
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  5. 145
    Exponentially attenuated sinusoidal function.

    Exponentially attenuated sinusoidal function. حسب Hang Zhao (143592)

    منشور في 2025
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  6. 146
    Comparison of original VMD and MOCOA-VMD results.

    Comparison of original VMD and MOCOA-VMD results. حسب Hang Zhao (143592)

    منشور في 2025
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  7. 147
    Performance comparison with other papers.

    Performance comparison with other papers. حسب Hang Zhao (143592)

    منشور في 2025
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  8. 148
    Action potential of sample points in model 2.

    Action potential of sample points in model 2. حسب Hang Zhao (143592)

    منشور في 2025
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  9. 149
    Kurtograms of different signals.

    Kurtograms of different signals. حسب Hang Zhao (143592)

    منشور في 2025
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  10. 150
    Model establishment of the human heart.

    Model establishment of the human heart. حسب Hang Zhao (143592)

    منشور في 2025
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  11. 151
    Comparison of ablation study. The deep model which consists of MOCOA-VMD and attention scheme achieves the best accuracy.

    Comparison of ablation study. The deep model which consists of MOCOA-VMD and attention scheme achieves the best accuracy. حسب Hang Zhao (143592)

    منشور في 2025
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  12. 152
    Action potential of sample points in model 0.

    Action potential of sample points in model 0. حسب Hang Zhao (143592)

    منشور في 2025
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  13. 153
    Deep attention network architecture for arrhythmia classification.

    Deep attention network architecture for arrhythmia classification. حسب Hang Zhao (143592)

    منشور في 2025
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  14. 154
    Bayesian optimization results of key hyperparameters.

    Bayesian optimization results of key hyperparameters. حسب Hang Zhao (143592)

    منشور في 2025
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  15. 155
    Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction

    Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction حسب Mohamad A. Raja (19640297)

    منشور في 2025
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  16. 156
    (A) Illustration of grouping and segmentation based on the global similarity structure when the number of elements is small. A, B, C, and D represent stimulus elements at different spatial locations. The physical pairwise similarities are assumed to be high between A and B and between C and D, while they are relatively low for the other four pairs, as indicated by the physical similarity matrix. This configuration potentially leads to the grouping of {A, B} and {C, D}, as depicted by the dashed red squares. Following neural processing that incorporates the global similarity structure, similar pairs are grouped, whereas dissimilar pairs are segregated, as reflected in the perceptual connection matrix. (B) Demonstration of how computational complexity increases with stimulus size. The left panel presents the physical similarity matrix for 3 × 6 and 4 × 8 element stimuli, respectively. The right panel illustrates the exponential growth in the number o

    (A) Illustration of grouping and segmentation based on the global similarity structure when the number of elements is small. A, B, C, and D represent stimulus elements at different... حسب Yen-Ju Chen (354876)

    منشور في 2025
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  17. 157
    Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring

    Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring حسب Alison Gerken (17362585)

    منشور في 2025
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  18. 158
    Monotone Cubic B-Splines with a Neural-Network Generator

    Monotone Cubic B-Splines with a Neural-Network Generator حسب Lijun Wang (176511)

    منشور في 2024
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  19. 159
    Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived from the 3-level wavelet transform (WT) at four resolutions. These features were used as inputs for traditional ML algorithms. The left map demonstrates the correlation matrix of 52 features crafted from 4 resolutions of the 3-level WT, which are used as inputs for traditional ML algorithms. The heat map (on the right) is the correlation matrix after feature selection, in which features whose Pearson’s correlation coefficient is higher than 0.8 are considered highly correlated. We keep only one representative feature and remove its highly correlated features.

    Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... حسب Quang Dung Dinh (20995766)

    منشور في 2025
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  20. 160
    Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis

    Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis حسب Alan Glanz (22109698)

    منشور في 2025
    "…<h2><b>Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis</b></h2><p dir="ltr"><b>© 2025 Alan J. …"
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