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property optimization » process optimization (Expand Search), policy optimization (Expand Search), robust optimization (Expand Search)
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Showing 1 - 20 results of 24 for search '(( binary based property optimization algorithm ) OR ( binary data cross section algorithm ))', query time: 0.47s Refine Results
  1. 1
    Datasets and their properties.

    Datasets and their properties. by Olaide N. Oyelade (14047002)

    Published 2023
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  2. 2
    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
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  3. 3
    Table 1_Provider fidelity in tuberculosis screening practices among adolescents and adults living with HIV in public health facilities in Tanzania: a cross-sectional evaluation.docx

    Table 1_Provider fidelity in tuberculosis screening practices among adolescents and adults living with HIV in public health facilities in Tanzania: a cross-sectional evaluation.doc... by Lucas L. Shilugu (22644302)

    Published 2025
    “…A facility-based cross-sectional study was conducted, involving the extraction of data from 423 client treatment records and observation of 423 screening sessions. …”
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  4. 4
    Table 2_Provider fidelity in tuberculosis screening practices among adolescents and adults living with HIV in public health facilities in Tanzania: a cross-sectional evaluation.docx

    Table 2_Provider fidelity in tuberculosis screening practices among adolescents and adults living with HIV in public health facilities in Tanzania: a cross-sectional evaluation.doc... by Lucas L. Shilugu (22644302)

    Published 2025
    “…A facility-based cross-sectional study was conducted, involving the extraction of data from 423 client treatment records and observation of 423 screening sessions. …”
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  5. 5
    Data XGBOOST.

    Data XGBOOST. by Xin Zhang (35492)

    Published 2025
    “…</p><p>Methods</p><p>This is a cross-sectional study. A total of 284 (pre)frail older adults (aged ≥60 years) were included from ten rural healthcare centers in Northeast China. …”
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  6. 6
    The data processing and analysis pipeline.

    The data processing and analysis pipeline. by Xin Zhang (35492)

    Published 2025
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  7. 7
    Data_Sheet_1_A Global Optimizer for Nanoclusters.PDF

    Data_Sheet_1_A Global Optimizer for Nanoclusters.PDF by Maya Khatun (7437011)

    Published 2019
    “…This method is implemented in PyAR (https://github.com/anooplab/pyar) program. The global optimization in PyAR involves two parts, generation of several trial geometries and gradient-based local optimization of the trial geometries. …”
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  8. 8
    Association between crowding and oral habits.

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

    Published 2025
    “…</p><p>Methods</p><p>This study was conducted as a feasibility study using cross-sectional data. Subjects were recruited from panelists registered with Macromill, Inc. …”
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  9. 9
    Association between deep bite and oral habits.

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

    Published 2025
    “…</p><p>Methods</p><p>This study was conducted as a feasibility study using cross-sectional data. Subjects were recruited from panelists registered with Macromill, Inc. …”
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  10. 10
    Breakdown of participants by residential area.

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

    Published 2025
    “…</p><p>Methods</p><p>This study was conducted as a feasibility study using cross-sectional data. Subjects were recruited from panelists registered with Macromill, Inc. …”
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  11. 11
    Each variable for the dataset.

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

    Published 2025
    “…</p><p>Methods</p><p>This study was conducted as a feasibility study using cross-sectional data. Subjects were recruited from panelists registered with Macromill, Inc. …”
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  12. 12
    Data_Sheet_1_Machine learning models identify micronutrient intake as predictors of undiagnosed hypertension among rural community-dwelling older adults in Thailand: a cross-sectional study.PDF

    Data_Sheet_1_Machine learning models identify micronutrient intake as predictors of undiagnosed hypertension among rural community-dwelling older adults in Thailand: a cross-sectio... by Niruwan Turnbull (11506910)

    Published 2024
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  13. 13
    Telehealth.

    Telehealth. by Anis Ben Ghorbal (22521828)

    Published 2025
    “…<div><p>This paper aimed to explore the impact of disability along with other factors on telehealth usage, examining the degree of ease people feel while using telehealth services in Saudi Arabia. A cross-sectional study collected data from 428 Saudi adult participants via an online survey between October and November 2024. …”
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  14. 14
    Kernel Density Plot of Effort Expectancy Scores.

    Kernel Density Plot of Effort Expectancy Scores. by Anis Ben Ghorbal (22521828)

    Published 2025
    “…<div><p>This paper aimed to explore the impact of disability along with other factors on telehealth usage, examining the degree of ease people feel while using telehealth services in Saudi Arabia. A cross-sectional study collected data from 428 Saudi adult participants via an online survey between October and November 2024. …”
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  15. 15
    Data_Sheet_2_Predicting Axial Length From Choroidal Thickness on Optical Coherence Tomography Images With Machine Learning Based Algorithms.docx

    Data_Sheet_2_Predicting Axial Length From Choroidal Thickness on Optical Coherence Tomography Images With Machine Learning Based Algorithms.docx by Hao-Chun Lu (12965318)

    Published 2022
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  16. 16
    Data_Sheet_1_Predicting Axial Length From Choroidal Thickness on Optical Coherence Tomography Images With Machine Learning Based Algorithms.docx

    Data_Sheet_1_Predicting Axial Length From Choroidal Thickness on Optical Coherence Tomography Images With Machine Learning Based Algorithms.docx by Hao-Chun Lu (12965318)

    Published 2022
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  17. 17
    Table_1_Prediction of spherical equivalent difference before and after cycloplegia in school-age children with machine learning algorithms.DOCX

    Table_1_Prediction of spherical equivalent difference before and after cycloplegia in school-age children with machine learning algorithms.DOCX by Bei Du (12545461)

    Published 2023
    “…</p>Design<p>Random cluster sampling.</p>Methods<p>The cross-sectional study was conducted from December 2018 to January 2019. …”
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  18. 18
    Interpretability analysis.

    Interpretability analysis. by Michela C. Massi (14599915)

    Published 2023
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  19. 19
    Executable pathway analysis using ensemble discrete-state modeling for large-scale data

    Executable pathway analysis using ensemble discrete-state modeling for large-scale data by Rohith Palli (6623276)

    Published 2019
    “…Here, we model cellular heterogeneity using discrete state dynamics and measure pathway activities in cross-sectional data. We introduce a new algorithm, Boolean Omics Network Invariant-Time Analysis (BONITA), for signal propagation, signal integration, and pathway analysis. …”
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  20. 20
    Table_1_Prevalence and Correlation Analysis of Soil-Transmitted Helminths Infections and Treatment Coverage for Preschool and School Aged Children in Kenya: Secondary Analysis of the National School Based Deworming Program Data.DOCX

    Table_1_Prevalence and Correlation Analysis of Soil-Transmitted Helminths Infections and Treatment Coverage for Preschool and School Aged Children in Kenya: Secondary Analysis of t... by Collins Okoyo (801855)

    Published 2021
    “…The M&E program conducted surveys utilizing cross-sectional study design, at four survey time points, in a nationally-representative sample of schoolchildren across counties in Kenya. …”
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