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Showing 1 - 20 results of 172 for search '(( binary based process optimization algorithm ) OR ( linear layer model optimization algorithm ))', query time: 0.73s Refine Results
  1. 1
    The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms.

    The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

    Published 2023
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  2. 2
    The Effect of Machine Learning Algorithms on the Prediction of Layer-by-Layer Coating Properties

    The Effect of Machine Learning Algorithms on the Prediction of Layer-by-Layer Coating Properties by Tijana Šušteršič (14519970)

    Published 2023
    “…Recently, we have demonstrated a preliminary ML-based model for coating thickness prediction. In this paper, we compared several ML algorithms for optimizing a methodology for coating thickness prediction, namely, linear regression, Support Vector Regressor, Random Forest Regressor, and Extra Tree Regressor. …”
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  3. 3
    The confusion matrix of DNN-12-layer model with MFCC datasets.

    The confusion matrix of DNN-12-layer model with MFCC datasets. by Cihun-Siyong Alex Gong (11874066)

    Published 2021
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  4. 4
    The confusion matrix of DNN-12-layer model with LPC datasets.

    The confusion matrix of DNN-12-layer model with LPC datasets. by Cihun-Siyong Alex Gong (11874066)

    Published 2021
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  5. 5
    The confusion matrix of PCA-DNN-12-layer model with MFCC datasets.

    The confusion matrix of PCA-DNN-12-layer model with MFCC datasets. by Cihun-Siyong Alex Gong (11874066)

    Published 2021
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  6. 6
    The confusion matrix of PCA-DNN-12-layer model with LPC datasets.

    The confusion matrix of PCA-DNN-12-layer model with LPC datasets. by Cihun-Siyong Alex Gong (11874066)

    Published 2021
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  7. 7
    Determination of the angular parameter of the loose layer and bedrock (direction).

    Determination of the angular parameter of the loose layer and bedrock (direction). by Liangliang Yang (3814120)

    Published 2024
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  8. 8
    Feature selection process.

    Feature selection process. by Balraj Preet Kaur (20370832)

    Published 2024
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  9. 9
    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
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  10. 10
    DNN structure consisting of many hidden layers.

    DNN structure consisting of many hidden layers. by Cihun-Siyong Alex Gong (11874066)

    Published 2021
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  11. 11
    Relationship between strike shift angle, boundary angle, and mining depth/loose layer thickness.

    Relationship between strike shift angle, boundary angle, and mining depth/loose layer thickness. by Liangliang Yang (3814120)

    Published 2024
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  12. 12
    Relationship between uphill movement angle, boundary angle, and mining depth/thickness of the loose layer.

    Relationship between uphill movement angle, boundary angle, and mining depth/thickness of the loose layer. by Liangliang Yang (3814120)

    Published 2024
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  13. 13
    Modern LSTM units and its layer structure are illustrated.

    Modern LSTM units and its layer structure are illustrated. by Cihun-Siyong Alex Gong (11874066)

    Published 2021
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  14. 14
    An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA.

    An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. by Olaide N. Oyelade (14047002)

    Published 2023
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  15. 15
    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>.

    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>. by Benjamin Gallois (10131683)

    Published 2021
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  16. 16
    Judgment matrix of control layer U.

    Judgment matrix of control layer U. by Yixuan Lu (9987980)

    Published 2023
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  17. 17
    Multi-scale representation of two-dimensional linear graphs.

    Multi-scale representation of two-dimensional linear graphs. by Guangmei Ma (21432861)

    Published 2025
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  18. 18
    Schematic of iteration process of IDE-IIGA.

    Schematic of iteration process of IDE-IIGA. by Ling Zhao (111365)

    Published 2025
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  19. 19
    Order of locations tested in the SORS algorithm using four different reconstruction models.

    Order of locations tested in the SORS algorithm using four different reconstruction models. by Runjie Bill Shi (18309700)

    Published 2024
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  20. 20
    Judgment matrix of criterion layer U<sub>3</sub>.

    Judgment matrix of criterion layer U<sub>3</sub>. by Yixuan Lu (9987980)

    Published 2023
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