Showing 301 - 320 results of 1,556 for search '(variable OR variables) model composition', query time: 0.17s Refine Results
  1. 301

    Random shear resistance of a headed-stud connector in composite steel-concrete beam by Tomasz Domański, Mariusz Maślak

    Published 2024-12-01
    “…The dependence of such value on the mutual relationship between the coefficients determining the statistical variability of the strength of the connector steel as well as the strength of the concrete from which the floor slab was made is also demonstrated. …”
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    Machine-Learning-Driven Analysis of Wear Loss and Frictional Behavior in Magnesium Hybrid Composites by Barun Haldar, Hillol Joardar, Arpan Kumar Mondal, Nashmi H. Alrasheedi, Rashid Khan, Murugesan P. Papathi

    Published 2025-05-01
    “…The performance evaluation showed that ML models effectively predicted friction behavior and wear behavior of magnesium-based hybrid composites using tribological test data. …”
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    Article
  4. 304

    Effective Mechanical Properties of a Composite Material Reinforced by Oil Shale Ash Particles by Olga Kononova, Andrejs Krasnikovs, Ilgar Jafarli, Iveta Novakova, Volodymyr Gulik, Mindaugas Vaišnoras

    Published 2025-01-01
    “…This study determined the elastic properties of composites and concretes reinforced with oil shale ash (OSA) particles, a byproduct of oil shale combustion in an electric power plant in Estonia (Auvere). …”
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  5. 305

    SUMMARIA — A XAI Support Methodology by Generating Composite Linguistic Summaries of Qualitative Data by Carlos Rafael Rodríguez-Rodríguez, Yeleny Zulueta-Veliz, Dainys Gainza-Reyes

    Published 2025-07-01
    “…Abstract The main stream of Linguistic Data Summarization involves modeling numerical attributes using linguistic variables, which makes it difficult addressing real-world problems with qualitative or mixed data. …”
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  6. 306

    Landscape Composition and Forest Structure Shape Phyllostomid Bat Assemblages in the Atlantic Forest Remnants by Ricardo Bovendorp, Eduardo Mariano-Neto, Albérico Queiroz, Deborah Faria

    Published 2025-07-01
    “…We applied structural equation modeling to test the direct and indirect effects of landscape and local variables. …”
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  7. 307

    Soil organic carbon estimation using spaceborne hyperspectral composites on a large scale by Xiangyu Zhao, Zhitong Xiong, Paul Karlshöfer, Nikolaos Tziolas, Martin Wiesmeier, Uta Heiden, Xiao Xiang Zhu

    Published 2025-06-01
    “…Moreover, a spectral attention mechanism was added to the model. Besides hyperspectral input, the digital elevation model (DEM) was also included as an auxiliary input as the measured spectrum has inter-variability dependent on the elevation and the generated topographical features are also relevant with SOC distribution. …”
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  8. 308

    Methodology for Developing a Composite Social Development Index (CSDI): Essential Decisions and Results by Mehdi Mobaraki, Zohre Shahbazi, Najme Mostafavi

    Published 2025-03-01
    “…However, measuring complex social issues, such as social development with their various dimensions and dispersed information as a single variable poses significant challenges. As a result, composite indicators are typically employed. …”
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  9. 309

    Body Composition Profiles and Associated Factors in Adolescents UndergoingLong-term Regular Exercise by WANG Yutong, GUO Xiaoyuan, DU Hanze, PAN Hui, WANG Wei, ZHANG Mei, BAN Bo, LI Ping, ZHANG Xinran, ZHANG Qiuping, SUN Hongshuang, LI Rong, CHEN Shi

    Published 2025-05-01
    “…Linear regression models examined associations between training type (direct-contact vs. non-contact sports) and follow-up body fat percentage, BMI, and waist circumference as dependent variables, adjusting for covariates.ResultsThe study included 110 adolescents (39 female, 71 male) with median age 13.21 years (IQR: 12.46-14.33). …”
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    Unlocking chickpea flour potential: AI-powered prediction for quality assessment and compositional characterisation by Ali Zia, Muhammad Husnain, Sally Buck, Jonathan Richetti, Elizabeth Hulm, Jean-Philippe Ral, Vivien Rolland, Xavier Sirault

    Published 2025-01-01
    “…However, the inherent variability in the composition of chickpea flour, influenced by genetic diversity, environmental conditions, and processing techniques, poses significant challenges to standardisation and quality control. …”
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    Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive e... by Yan Hong, Xinrong Chen, Ling Wang, Fan Zhang, ZiYing Zeng, Weining Xie

    Published 2025-06-01
    “…This study aimed to develop and validate machine learning (ML) models for predicting MAFLD using detailed body composition metrics and to explore the relative contributions of adipose tissue features through explainable ML techniques.MethodsData from the 2017–2018 National Health and Nutrition Examination Survey (NHANES) were used to construct predictive models based on anthropometric, demographic, lifestyle, and clinical variables. …”
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    Theoretical and computational investigations on estimation of viscosity of ionic liquids for green adsorbent: Effect of temperature and composition by Zhaoxiong Han

    Published 2025-01-01
    “…The dataset comprises categorical information on Cation and Anion, along with numeric variables T(K) and xIL (mol%), serving as inputs for the models, while Viscosity (Pa.s) represents the output variable. …”
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  18. 318

    Preliminary analysis of patient assessment within a study on the impact of hydrokinetotherapy on body composition and metabolic disease risk in an adult population segment by Claudiu Cobuz, Sînziana Călina Silișteanu, Maricela Cobuz, Andrei-Ioan Costea, Elena Vizitiu Lakhdari

    Published 2025-12-01
    “…Similarly, the BMI data for men aged 40-60 indicated notable variability in body composition, consistent with the findings for men aged 61-80. …”
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  19. 319

    Low-noise optimization design for underwater series-connected multi-sphere composite shell structure by Hefan LI, Guanjun ZHANG, Yuzhao KE

    Published 2025-06-01
    “…The radial basis function (RBF) neural network was used to establish a multidimensional mapping model between the design variables and the optimization objective. …”
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  20. 320

    PROBABILITY ANALYSIS ON LAST PLY FAILURE OF COMPOSITE LAMINATES BASED ON UNIVERSAL GENERATING FUNCTION METHOD by LIU ChengLong, ZHOU JinYu, QIU Rui, ZHUANG BaiLiang, HU Jian

    Published 2020-01-01
    “…The reliability of composite laminates is analyzed by universal generating function method. …”
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