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Showing 1 - 20 results of 65 for search '(( binary image driven optimization algorithm ) OR ( history data based optimization algorithm ))', query time: 0.55s Refine Results
  1. 1
    Search history of TSA and WOA for Case-<i>30</i>.

    Search history of TSA and WOA for Case-<i>30</i>. by Emre Demir (6190242)

    Published 2022
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  2. 2
    Search history of TSA and WOA for Case-<i>60</i>.

    Search history of TSA and WOA for Case-<i>60</i>. by Emre Demir (6190242)

    Published 2022
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  3. 3
    Search history of TSA and WOA for Case-<i>20</i>.

    Search history of TSA and WOA for Case-<i>20</i>. by Emre Demir (6190242)

    Published 2022
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  4. 4
    Search history of TSA and WOA for Case-<i>10</i>.

    Search history of TSA and WOA for Case-<i>10</i>. by Emre Demir (6190242)

    Published 2022
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  5. 5
    Search history of TSA and WOA for Case-<i>50</i>.

    Search history of TSA and WOA for Case-<i>50</i>. by Emre Demir (6190242)

    Published 2022
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  6. 6
    Search history of TSA and WOA for Case-<i>40</i>.

    Search history of TSA and WOA for Case-<i>40</i>. by Emre Demir (6190242)

    Published 2022
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  7. 7
    Variants of history models used for training the general model using data of 40 patients.

    Variants of history models used for training the general model using data of 40 patients. by Tomasz Gutowski (17200042)

    Published 2023
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  8. 8
    Data_Sheet_1_An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening.pdf

    Data_Sheet_1_An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening.pdf by Luuk A. van Duuren (12001607)

    Published 2022
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  9. 9
    Data_Sheet_3_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequences.ZIP

    Data_Sheet_3_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
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  10. 10
    Data_Sheet_4_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequences.docx

    Data_Sheet_4_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
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  11. 11
    Data_Sheet_2_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequences.ZIP

    Data_Sheet_2_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
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  12. 12
    Data_Sheet_1_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequences.PDF

    Data_Sheet_1_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
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  13. 13
    Data_Sheet_6_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequences.docx

    Data_Sheet_6_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
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  14. 14
    Data_Sheet_5_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequences.docx

    Data_Sheet_5_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
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  15. 15
    Schematic architecture of the proposed hybrid SVM-PSO-AI framework for cardiovascular risk prediction: It has four input vectors V1 (Medical Imaging), V2 (Clinical Data), V3 (Genomic Information) and V4 (Medical History).

    Schematic architecture of the proposed hybrid SVM-PSO-AI framework for cardiovascular risk prediction: It has four input vectors V1 (Medical Imaging), V2 (Clinical Data), V3 (Genom... by Medhat A. Tawfeek (22522087)

    Published 2025
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  16. 16
    Experimental observation of gastruloids and shape quantification using LOCO-EFA.

    Experimental observation of gastruloids and shape quantification using LOCO-EFA. by Martijn A. de Jong (17896732)

    Published 2024
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  17. 17
    Parameter Settings for the Proposed Hybrid Model. The Particle Swarm Optimization (PSO) parameters (swarm size, iterations, inertia weight, cognitive and social coefficient) were empirically determined. The weighting coefficients (β₁, β₂, β₄) for the input vectors were tuned to reflect the relative importance of medical imaging, clinical data, and medical history, respectively. genomic data (β₃) was weighted as 0 in this study due to its unavailability in dataset.The regularization parameter (C) and the kernel parameter (γ) of the SVM are not predetermined but their values are dynamically determined by the PSO optimization process.

    Parameter Settings for the Proposed Hybrid Model. The Particle Swarm Optimization (PSO) parameters (swarm size, iterations, inertia weight, cognitive and social coefficient) were e... by Medhat A. Tawfeek (22522087)

    Published 2025
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  18. 18
    Description, feature counts, and data partitioning of the MIMIC-III clinical database (v1.4) used in this study. The table categorizes patient data into three main relevant modalities: clinical data, medical history, and medical imaging. The approximate number of instances of each type of feature is recorded on the Count column: it is an indicator of the scale and variety of the dataset. Datas were separated into training (75 percent), validation (10 percent) and test (15 percent) sets to maintain patient level separation to prevent data leakage.

    Description, feature counts, and data partitioning of the MIMIC-III clinical database (v1.4) used in this study. The table categorizes patient data into three main relevant modalit... by Medhat A. Tawfeek (22522087)

    Published 2025
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  19. 19
    DataSheet1_Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm.docx

    DataSheet1_Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm.docx by Qiyuan Cui (19729288)

    Published 2024
    “…Objective<p>The aim of this study was to develop and validate a machine learning-based model to predict the development of impaired fasting glucose (IFG) in middle-aged and older elderly people over a 5-year period using data from a cohort study.…”
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  20. 20
    Phylogenetic history of genes 5 and 11 in three related genomes.

    Phylogenetic history of genes 5 and 11 in three related genomes. by Geleta Dugassa Barka (9099456)

    Published 2020
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