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Showing 1 - 20 results of 31 for search '(( binary three scale optimization algorithm ) OR ( primary data code optimization algorithm ))*', query time: 0.70s Refine Results
  1. 1
    Homomorphic binary tree.

    Homomorphic binary tree. by Jianhua He (341366)

    Published 2024
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  2. 2
    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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  3. 3
    An example of a type of texture of binary preferred/non-preferred ranges of raw vegetation index values type feature.

    An example of a type of texture of binary preferred/non-preferred ranges of raw vegetation index values type feature. by Elise Varaela Voltura (17592996)

    Published 2023
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  4. 4
    Texas Rio Grande Valley Red–crowned Parrot predicted general use habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence) MaxEnt models.

    Texas Rio Grande Valley Red–crowned Parrot predicted general use habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence... by Elise Varaela Voltura (17592996)

    Published 2023
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  5. 5
    Texas Rio Grande Valley Red–crowned Parrot predicted roost site habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence) MaxEnt models.

    Texas Rio Grande Valley Red–crowned Parrot predicted roost site habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence)... by Elise Varaela Voltura (17592996)

    Published 2023
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  6. 6
    Texas Rio Grande Valley Red–crowned Parrot predicted nest site habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence) MaxEnt models.

    Texas Rio Grande Valley Red–crowned Parrot predicted nest site habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence)... by Elise Varaela Voltura (17592996)

    Published 2023
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  7. 7
    The overlap of Texas Rio Grande Valley Red–crowned Parrot predicted general use, roost site, and nest site habitat distributions as determined using consensus-based feature ensembles of separate sets of 12 calibrated (binary presence/absence) MaxEnt models.

    The overlap of Texas Rio Grande Valley Red–crowned Parrot predicted general use, roost site, and nest site habitat distributions as determined using consensus-based feature ensembl... by Elise Varaela Voltura (17592996)

    Published 2023
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  8. 8
    S1 Code -

    S1 Code - by Gaosha Li (20570760)

    Published 2025
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  9. 9
    Fig 3 -

    Fig 3 - by Ali Ahmed (2567584)

    Published 2020
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  10. 10
    An example of a type of a percent cover of preferred ranges of raw vegetation index values type feature.

    An example of a type of a percent cover of preferred ranges of raw vegetation index values type feature. by Elise Varaela Voltura (17592996)

    Published 2023
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  11. 11
    An example of a type of percent cover of preferred ranges of vegetation index texture values type feature.

    An example of a type of percent cover of preferred ranges of vegetation index texture values type feature. by Elise Varaela Voltura (17592996)

    Published 2023
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  12. 12
    Data_Sheet_2_Computational Neural Modeling of Auditory Cortical Receptive Fields.pdf

    Data_Sheet_2_Computational Neural Modeling of Auditory Cortical Receptive Fields.pdf by Jordan D. Chambers (6732224)

    Published 2019
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  13. 13
    Data_Sheet_1_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF

    Data_Sheet_1_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF by Jordan D. Chambers (6732224)

    Published 2019
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  14. 14
    Data_Sheet_3_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF

    Data_Sheet_3_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF by Jordan D. Chambers (6732224)

    Published 2019
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  15. 15
    Table_1_Screening of Long Non-coding RNAs Biomarkers for the Diagnosis of Tuberculosis and Preliminary Construction of a Clinical Diagnosis Model.docx

    Table_1_Screening of Long Non-coding RNAs Biomarkers for the Diagnosis of Tuberculosis and Preliminary Construction of a Clinical Diagnosis Model.docx by Juli Chen (12187358)

    Published 2022
    “…Background<p>Pathogenic testing for tuberculosis (TB) is not yet sufficient for early and differential clinical diagnosis; thus, we investigated the potential of screening long non-coding RNAs (lncRNAs) from human hosts and using machine learning (ML) algorithms combined with electronic health record (EHR) metrics to construct a diagnostic model.…”
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  16. 16
    Malware detection workflow in compressed archives

    Malware detection workflow in compressed archives by Paul A. Gagniuc (1818325)

    Published 2025
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  17. 17
    Distributions of model parameters mirror differentially expressed ion channel genes.

    Distributions of model parameters mirror differentially expressed ion channel genes. by Daniele Linaro (227790)

    Published 2022
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  18. 18
    tUbenet Foundation Model Weights

    tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

    Published 2025
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  19. 19
    Input features.

    Input features. by Nicola Lazzarini (3528197)

    Published 2022
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  20. 20
    Baseline characteristics of patients in the study cohort.

    Baseline characteristics of patients in the study cohort. by Nicola Lazzarini (3528197)

    Published 2022
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