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Showing 1 - 20 results of 22 for search '(( binary based codon optimization algorithm ) OR ( binary based network organization algorithm ))', query time: 0.37s Refine Results
  1. 1
    pone.0269685.t006 - Multi-class classification algorithms for the diagnosis of anemia in an outpatient clinical setting

    pone.0269685.t006 - Multi-class classification algorithms for the diagnosis of anemia in an outpatient clinical setting by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  2. 2
    pone.0269685.t005 - Multi-class classification algorithms for the diagnosis of anemia in an outpatient clinical setting

    pone.0269685.t005 - Multi-class classification algorithms for the diagnosis of anemia in an outpatient clinical setting by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  3. 3
    Predictor Retention Criteria for Binary Risk Factors. Pseudo-Prospective Validation Cohort = September 2022.

    Predictor Retention Criteria for Binary Risk Factors. Pseudo-Prospective Validation Cohort = September 2022. by Terrence J. Lee-St. John (19532684)

    Published 2024
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  4. 4
    Dataset description.

    Dataset description. by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  5. 5
    Prevalence of normocytic, microcytic and macrocytic by age.

    Prevalence of normocytic, microcytic and macrocytic by age. by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  6. 6
    Summary of the results obtained using the dataset3 (SMOTE).

    Summary of the results obtained using the dataset3 (SMOTE). by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  7. 7
    Prevalence of mild, moderate and severe anemia in percentage by age.

    Prevalence of mild, moderate and severe anemia in percentage by age. by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  8. 8
    Gender wise prevalence of Anemia in the study population.

    Gender wise prevalence of Anemia in the study population. by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  9. 9
    Summary of the results obtained using the dataset4 (SMOTE and feature selected).

    Summary of the results obtained using the dataset4 (SMOTE and feature selected). by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  10. 10
    Prevalence of mild, moderate and severe anemia by age.

    Prevalence of mild, moderate and severe anemia by age. by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  11. 11
    Prevalence of mild, moderate and severe anemia by age.

    Prevalence of mild, moderate and severe anemia by age. by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  12. 12
    Summary of the results obtained using the dataset2 (feature selected).

    Summary of the results obtained using the dataset2 (feature selected). by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  13. 13
    Framework of the proposed model.

    Framework of the proposed model. by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  14. 14
    Summary of the results obtained using the dataset1 (Anemia original dataset).

    Summary of the results obtained using the dataset1 (Anemia original dataset). by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  15. 15
    Prevalence of normocytic, microcytic and macrocytic by age.

    Prevalence of normocytic, microcytic and macrocytic by age. by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  16. 16
    Feature selection.

    Feature selection. by Rajan Vohra (10689820)

    Published 2022
    Subjects: “…multilayer perceptron network…”
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  17. 17
    Data_Sheet_1_Emotional brain network decoded by biological spiking neural network.docx

    Data_Sheet_1_Emotional brain network decoded by biological spiking neural network.docx by Hubo Xu (16523592)

    Published 2023
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  18. 18
    Presentation_1_Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE).pdf

    Presentation_1_Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE).pdf by Jacques Kaiser (7398800)

    Published 2020
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  19. 19
    Pre-processing of raw images for pose estimation using physical model-trained convolutional neural network model.

    Pre-processing of raw images for pose estimation using physical model-trained convolutional neural network model. by Aniket Ravan (3174171)

    Published 2023
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  20. 20
    DataSheet1_Comparison of Descriptor- and Fingerprint Sets in Machine Learning Models for ADME-Tox Targets.docx

    DataSheet1_Comparison of Descriptor- and Fingerprint Sets in Machine Learning Models for ADME-Tox Targets.docx by Álmos Orosz (12828104)

    Published 2022
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