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access optimization » process optimization (Expand Search), stress optimization (Expand Search), process optimisation (Expand Search)
codon optimization » wolf optimization (Expand Search)
primary cancer » primary care (Expand Search), primary cause (Expand Search), primary causes (Expand Search)
cancer access » cancer across (Expand Search), water access (Expand Search), faster access (Expand Search)
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Showing 1 - 20 results of 20 for search '(( binary basic codon optimization algorithm ) OR ( primary cancer access optimization algorithm ))', query time: 0.52s Refine Results
  1. 1
    Results of algorithm validation.

    Results of algorithm validation. by Lorenzo Jaime Yu Flores (11414024)

    Published 2021
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  2. 2
    Trainable parameters for different algorithms.

    Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

    Published 2024
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  3. 3
    Biomarkers and cancer subtype.

    Biomarkers and cancer subtype. by Michael Bonert (3751348)

    Published 2024
    “…The 538 cases were from 511 patients and 234/511 patients had lung primaries. Small cell lung cancer lesions were most frequently found in the cerebellum (17/30). …”
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  4. 4
    Data_Sheet_1_Accuracy of Deep Neural Network in Triaging Common Skin Diseases of Primary Care Attention.docx

    Data_Sheet_1_Accuracy of Deep Neural Network in Triaging Common Skin Diseases of Primary Care Attention.docx by Mara Giavina-Bianchi (11334102)

    Published 2021
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  5. 5
    Anonymized data.

    Anonymized data. by Michael Bonert (3751348)

    Published 2024
    “…The 538 cases were from 511 patients and 234/511 patients had lung primaries. Small cell lung cancer lesions were most frequently found in the cerebellum (17/30). …”
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  6. 6
    Biomarkers and neuroanatomical sites.

    Biomarkers and neuroanatomical sites. by Michael Bonert (3751348)

    Published 2024
    “…The 538 cases were from 511 patients and 234/511 patients had lung primaries. Small cell lung cancer lesions were most frequently found in the cerebellum (17/30). …”
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  7. 7
    All tables and figures.

    All tables and figures. by Michael Bonert (3751348)

    Published 2024
    “…The 538 cases were from 511 patients and 234/511 patients had lung primaries. Small cell lung cancer lesions were most frequently found in the cerebellum (17/30). …”
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  8. 8
    Selected lung biomarkers.

    Selected lung biomarkers. by Michael Bonert (3751348)

    Published 2024
    “…The 538 cases were from 511 patients and 234/511 patients had lung primaries. Small cell lung cancer lesions were most frequently found in the cerebellum (17/30). …”
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  9. 9
    Table_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.pdf

    Table_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.pdf by Michael Moor (10887888)

    Published 2021
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  10. 10
    Data_Sheet_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.PDF

    Data_Sheet_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.PDF by Michael Moor (10887888)

    Published 2021
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  11. 11
    Data_Sheet_1_Measuring the impact of monoclonal antibody therapies.pdf

    Data_Sheet_1_Measuring the impact of monoclonal antibody therapies.pdf by Ka Keat Lim (8915009)

    Published 2023
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  12. 12
    Data_Sheet_1_Measuring the impact of monoclonal antibody therapies.pdf

    Data_Sheet_1_Measuring the impact of monoclonal antibody therapies.pdf by Ka Keat Lim (8915009)

    Published 2023
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  13. 13
    S1 File -

    S1 File - by Michael Bonert (3751348)

    Published 2023
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  14. 14
    S2 File -

    S2 File - by Michael Bonert (3751348)

    Published 2023
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  15. 15
    Clinical history.

    Clinical history. by Michael Bonert (3751348)

    Published 2023
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  16. 16
    Neuroanatomical site overlap.

    Neuroanatomical site overlap. by Michael Bonert (3751348)

    Published 2023
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  17. 17
    Datasets used for the study and their sources.

    Datasets used for the study and their sources. by Peter N-jonaam Mahama (15347793)

    Published 2023
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  18. 18
    The study flowchart.

    The study flowchart. by Nguyen Tat Thanh (10296398)

    Published 2025
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  19. 19
    Missing value chart of candidate variables.

    Missing value chart of candidate variables. by Nguyen Tat Thanh (10296398)

    Published 2025
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  20. 20
    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

    Published 2025
    “…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…”
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