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Showing 21 - 40 results of 180 for search '(( binary image data classification algorithm ) OR ( binary 2 based optimization algorithm ))', query time: 0.73s Refine Results
  1. 21
    Representative photographic image.

    Representative photographic image. by Kengo Oka (1420585)

    Published 2025
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  2. 22
    Cell classification.

    Cell classification. by Adam L. Tyson (10892822)

    Published 2021
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  3. 23
    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment

    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment by Jianfang Cao (1881379)

    Published 2019
    “…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”
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  4. 24
    Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses

    Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses by Meichen Liu (8168148)

    Published 2025
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  5. 25
    Fig 2 -

    Fig 2 - by Olaide N. Oyelade (14047002)

    Published 2023
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  6. 26
    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to right respectively to verify rotation invariance with their corresponding curve-fitted data.

    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to ri... by Ali Ahmed (2567584)

    Published 2020
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  7. 27
    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things

    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

    Published 2025
    “…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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  8. 28
    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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  9. 29
    Association between maxillary protrusion and oral habits.

    Association between maxillary protrusion and oral habits. by Kengo Oka (1420585)

    Published 2025
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  10. 30
    Association between crowding and oral habits.

    Association between crowding and oral habits. by Kengo Oka (1420585)

    Published 2025
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  11. 31
    Guide frame that appears on the smartphone application.

    Guide frame that appears on the smartphone application. by Kengo Oka (1420585)

    Published 2025
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  12. 32
    Association between deep bite and oral habits.

    Association between deep bite and oral habits. by Kengo Oka (1420585)

    Published 2025
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  13. 33
    Performance metrics of the logistic regression models on the test dataset.

    Performance metrics of the logistic regression models on the test dataset. by Kengo Oka (1420585)

    Published 2025
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  14. 34
    Breakdown of participants by residential area.

    Breakdown of participants by residential area. by Kengo Oka (1420585)

    Published 2025
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  15. 35
    Flowchart of study participants and design.

    Flowchart of study participants and design. by Kengo Oka (1420585)

    Published 2025
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  16. 36
    Breakdown of participants by annual household income.

    Breakdown of participants by annual household income. by Kengo Oka (1420585)

    Published 2025
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  17. 37
    Performance metrics of the machine learning models on the test dataset.

    Performance metrics of the machine learning models on the test dataset. by Kengo Oka (1420585)

    Published 2025
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  18. 38
    Each variable for the dataset.

    Each variable for the dataset. by Kengo Oka (1420585)

    Published 2025
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  19. 39
    Image4_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png

    Image4_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

    Published 2023
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  20. 40
    Image1_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png

    Image1_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

    Published 2023
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