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Showing 501 - 520 results of 2,280 for search '(( variable function (coefficient. OR coefficiency.) ) OR ( variables function efficient. ))*', query time: 0.27s Refine Results
  1. 501

    Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

    Published 2025-07-01
    “…The second stage employs a modified EfficientNetB3 architecture for fine-grained epiphyseal grade classification, enhanced by the Rectified Adam (RAdam) optimizer and a composite loss function combining center loss and weighted cross-entropy to mitigate class imbalance. …”
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  2. 502

    The Effect of value added in the Air Transport Industry on the employment of that sector by mahdi niknejad, Kambiz Hojabr Kiani, Ahmad Sarlak, Maryam Khoshnevis

    Published 2021-11-01
    “…Result of the long term model estimation shows that the estimated coefficients for the variables (value added, wage and capital price) are statistically meaningful and their values are 0.16, 0.62 and -0.23, respectively.…”
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  3. 503

    Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction by Yuxuan Dai

    Published 2025-04-01
    “…This work highlights that HL prediction could play a great role in improvements to enhance HVAC system performances, energy efficiencies, and thereby cost benefits. The innovative approaches presented in this research consist of integrating 2 advanced optimizers, namely an Improved Manta-Ray Foraging Optimizer (IMRFO) and a Population-based Vortex Search Algorithm (PVSA), with a Radial Basis Function (RBF). …”
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  4. 504

    STOCHASTIC FRONTIER PRODUCTION FUNCTION: AN APPLICATION TO ANKARA MOHAIR GOAT FARMING SYSTEM by Mehmet Arif ŞAHİNLİ, Ahmet ÖZÇELİK

    Published 2020-01-01
    “…In this study, we examined both production and technical efficiency of goat's farms in Ankara. The study adopted the stochastic frontier production function to estimate technical efficiency of the mohair goat establishments in the study area. …”
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  5. 505

    Measurement and analysis of technical efficiency in the production of wheat and barley crops in Erbil Governorate for the agricultural season 2020-2021 by Keshkhan Yousif Aziz

    Published 2022-03-01
    “…The study used the Cobb-Douglas production function using four traditional production factors, which are (land, labor, machinery, and fertilizers) in addition to a dummy variable (D1), which represents supplementary irrigation, to estimate the parameters of the stochastic frontier model. …”
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  6. 506

    Induction Motor Geometric Parameter Optimization Using a Metaheuristic Optimization Method for High-Efficiency Motor Design by Hasbi Apaydin, Necibe Füsun Oyman Serteller, Yüksel Oğuz

    Published 2025-02-01
    “…Ten motor design parameters were used as design variables. IM efficiency was improved, as the objective function. …”
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  7. 507

    Assessment of the functioning of the photosynthetic apparatus of Olea europaea L. under freezing temperatures by Sergei Yu. Tsiupka, Valentina A. Tsiupka, Ilya V. Bulavin

    Published 2025-02-01
    “…At a low gradient of temperature exposure (-7... - 10°C), leaf tissues of the European selection varieties ‘Coreggiolo’, ‘Ascolano’, ‘Leccino’ and ‘Razzo’ were damaged: electrical conductivity reached 15%, chlorophyll stability index decreased, variable fluorescence and photosynthetic activity coefficients decreased, uncontrolled photon quenching was significantly higher than the effective photochemical quantum yield and non-photochemical quenching. …”
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  8. 508

    Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method by Yaqi Jin, Wojciech J. Miloch, Daria Kotova, Knut Stanley Jacobsen, Đorđe Stevanović, Lasse B. N. Clausen, Nicholas Ssessanga, Federico DaDalt

    Published 2023-08-01
    “…To develop a climatological model, the ROTI maps are decomposed into base functions and coefficients using the empirical orthogonal function (EOF) method. …”
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  9. 509

    A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

    Published 2025-10-01
    “…Specifically, we first construct cross-modal interaction graphs by calculating correlation coefficient matrices between DE and HRV features, utilizing Laplacian eigenvalues and singular value decomposition (SVD). …”
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  10. 510

    Clinical and functional significance of determining biological age in women during the reproductive period by E. V. Kudryavtseva, D. A. Berezina, V. V. Bazarny, L. G. Polushina, M. А. Kopenkin, A. N. Troitskaya, V. V. Kovalev

    Published 2025-03-01
    “…The developed BA calculation formula demonstrated high accuracy, correlating with chronological age (correlation coefficient of 0.947).Conclusion. The proposed BA calculation method is specifically designed for women of reproductive age and shows high accuracy and correlation with chronological age. …”
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  11. 511

    Regularized regression outperforms trees for predicting cognitive function in the Health and Retirement Study by Kyle Masato Ishikawa, Deborah Taira, Joseph Keaweʻaimoku Kaholokula, Matthew Uechi, James Davis, Eunjung Lim

    Published 2025-09-01
    “…Model performance was evaluated using RMSE and R2 and interpretability was assessed via coefficients, variable importance, and decision trees. …”
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  12. 512

    Brain functional connectivity analysis of fMRI-based Alzheimer's disease data by Maitha S. Alarjani, Badar A. Almarri

    Published 2025-02-01
    “…The core of this framework discovers and analyzes functional connectivity among regions of interest (ROIs) of a human brain. …”
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  13. 513

    An analysis of agricultural production efficiency of Yellow River Basin based on a three-stage DEA Malmquist model by Xiejun Cheng, Jinxin Bian, Dongmei He, Decai Tang

    Published 2025-08-01
    “…Abstract Agriculture functions as the cornerstone of national development, and the Yellow River Basin (YRB) plays a crucial role in China’s economy. …”
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  14. 514

    Association between various blood glucose variability-related indicators during early ICU admission and 28-day mortality in non-diabetic patients with sepsis by Jingyan Zhou, Zhiheng Chen, Hao-Neng Huang, Chun-Quan Ou, Xin Li

    Published 2025-01-01
    “…The dose-response relationship between BG variability-related indexes and mortality was explored using multivariate logistic regression with restricted cubic spline (RCS) function. …”
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  15. 515

    Comparison of Blood Pressure Variability between 24 h Ambulatory Monitoring and Office Blood Pressure in Diabetics and Nondiabetic Patients: A Cross-Sectional Study by Ana Lídia Rouxinol-Dias, Marta Lisandra Gonçalves, Diogo Ramalho, Jose Silva, Loide Barbosa, Jorge Polónia

    Published 2022-01-01
    “…We found that diabetes is associated with higher variability of daytime BP than nondiabetics along with worse damage of vascular and renal function. …”
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  16. 516

    Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

    Published 2024-12-01
    “…Clinical data, including a range of cognitive, functional, and demographic variables, play a crucial role in Alzheimer’s disease classification. …”
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  17. 517
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  19. 519

    Isogeometric Analysis for Active Control of Piezoelectric Functionally Graded Plates in Thermal Environment by Tao Liu, Yafen Jiang, Shujun Li, Qingyun Liu, Chao Wang

    Published 2021-01-01
    “…An isogeometric analysis (IGA) method is proposed for investigating the active shape and vibration control of functionally graded plates (FGPs) with surface-bonded piezoelectric materials in a thermal environment. …”
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  20. 520

    DETERMINATION OF THE OPTIMUM DOSAGE OF FOOD ADDITIVE «SELEX» FOR FUNCTIONAL BAKERY GOODS PRODUCTION by Naumova N.L.

    Published 2015-03-01
    “…While investigating the dependence between selenium losses in the production process and selenium losses during the product storage and the introduced selenium dosage, the availability of the obvious positive correlation of these variables with significant correlation coefficients has been established. …”
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