يعرض 1 - 10 نتائج من 463 نتيجة بحث عن '"nonlinear regression model"', وقت الاستعلام: 0.95s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Tumor Displacement Prediction and Augmented Reality Visualization in Brain Tumor Resection Surgery
    脑肿瘤切除术中的肿瘤移位预测和增强现实可视化

    المؤلفون: Wang, Jiayu, Wang, ShuyiAff1, IDs1220402425768_cor2, Wei, YongxuAff2, IDs1220402425768_cor3, Liao, Chencong, Shang, Hanbing, Wang, Xue, Kang, Ning

    المصدر: Journal of Shanghai Jiaotong University (Science). :1-11

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  2. 2
    دورية أكاديمية
    Large deviations for randomly weighted least squares estimator in a nonlinear regression model

    المؤلفون: Wu, Yi, Yu, Wei, Wang, XuejunAff2, IDs00184023009260_cor3

    المصدر: Metrika: International Journal for Theoretical and Applied Statistics. 87(5):551-570

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  3. 3
    دورية أكاديمية
    Unconfined compressive strength and failure behaviour of completely weathered granite from a fault zone

    المؤلفون: Du, Shaohua, Ma, JinyinAff2, IDs1162902486985_cor2, Ma, Liyao, Zhao, Yaqian

    المصدر: Journal of Mountain Science. 21(6):2140-2158

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  4. 4
    دورية أكاديمية
    Prediction of wetting pattern dimensions under moistube irrigation with a multivariate nonlinear model

    المؤلفون: Yan-wei Fan, Chong Ren, Zhi-wei Yang, Chang-yan Zhang, Wei-fan Yin

    المصدر: Water Science and Engineering, Vol 17, Iss 3, Pp 217-225 (2024)

    مصطلحات موضوعية: Moistube irrigation, Wetting pattern dimensions, Multivariate nonlinear regression model, Dimensional model, HYDRUS-2D, River, lake, and water-supply engineering (General), TC401-506

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S1674237023001254; https://doaj.org/toc/1674-2370

    URL الوصول: https://doaj.org/article/03472780951a4d1eb122d3dca59ebf60

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  5. 5
    دورية أكاديمية
    Development of a soil quality index “SQI” from a former open dump: Dynamics of C and N mineralization

    المؤلفون: Salas-Enriquez, Bianka Guadalupe, Bedolla-Rivera, Héctor Iván, de la Luz Xochilt Negrete-Rodríguez, MaríaAff2, Aff3, Torres-Huerta, Aidé Minerva, Domínguez-Crespo, Miguel Antonio, Licona-Aguilar, Ángeles Iveth, Conde-Barajas, EloyAff2, Aff3, IDs4283202402346_cor7

    المصدر: Soil Ecology Letters. 6(4)

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  6. 6
    مؤتمر
    Estimating the Size of Web Apps Created Using the CakePHP Framework by Nonlinear Regression Models with Three Predictors

    المؤلفون: Prykhodko, Sergiy, Prykhodko, Andrii, Shutko, Ivan

    المصدر: 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT) Computer Sciences and Information Technologies (CSIT), 2021 IEEE 16th International Conference on. 1:333-336 Sep, 2021

    Relation: 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT)

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  7. 7
    دورية أكاديمية
    Shear Strength of Reinforced Concrete Tapered Beams by Using Systematic Multiscale Models and Artificial Neural Network

    المؤلفون: Hassan, Bedar RaufAff1, IDs40996023011868_cor1, Yousif, Ali Ramadhan

    المصدر: Iranian Journal of Science and Technology, Transactions of Civil Engineering. 47(6):3549-3569

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  8. 8
    دورية أكاديمية
    Construction and Application of Regional Multivariable Settlement Prediction Model

    المؤلفون: Zhang, XutaoAff1, IDs10706023025305_cor1, Wang, Junyu, Yin, Ruijie, Cui, Wei, Zhang, Xiao, Lou, Chao

    المصدر: Geotechnical and Geological Engineering: An International Journal. 41(8):4529-4548

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  9. 9
    دورية أكاديمية
    Regression analysis and its application to oil and gas exploration: A case study of hydrocarbon loss recovery and porosity prediction, China

    المؤلفون: Yang Li, Xiaoguang Li, Mingyu Guo, Chang Chen, Pengbo Ni, Zijian Huang

    المصدر: Energy Geoscience, Vol 5, Iss 4, Pp 100333- (2024)

    مصطلحات موضوعية: Regression analysis, Oil and gas exploration, Multiple linear regression model, Nonlinear regression model, Hydrocarbon loss recovery, Porosity prediction, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S2666759224000489; https://doaj.org/toc/2666-7592

    URL الوصول: https://doaj.org/article/374c421560724d1cbdb98a55ed49cad0

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  10. 10
    دورية أكاديمية
    The likelihood and Bayesian analyses for asymmetric Laplace nonlinear regression model

    المؤلفون: Gilani, Narjes, Pourmousa, RezaAff1, IDs4031402302528y_cor2

    المصدر: Computational and Applied Mathematics. 43(1)

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