Showing 781 - 800 results of 8,228 for search 'Linear sampling', query time: 0.11s Refine Results
  1. 781
  2. 782

    Non-Invasive Detection of Breast Cancer by Low-Coverage Whole-Genome Sequencing from Plasma by Li Peng, Ru Yao, Sihang Gao, Yang Qu, Li Qu, Jingbo Zhang, Yidong Zhou

    Published 2023-07-01
    “…Our approach adopted principal component analysis and a generalized linear model algorithm to distinguish between breast cancer and normal samples. …”
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  6. 786

    Detection of Cola beverage by electronic nose by LU Xiao-li, HAI Zheng, WANG Jun

    Published 2006-11-01
    “…To review the effect of three pretreatment methods, principal component analysis and linear discriminant analysis were employed, and the result of analysis indicated that the experiment employing Na<sub>2</sub>CO<sub>3</sub> as desiccant to pretreat the samples can improve the effect of detection significantly.…”
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  7. 787
  8. 788

    The Impact of Job Satisfaction and Employee Empowerment on Loyalty Amongst the Employees, Case of A Private University in Kurdistan Region, Iraq by Omar Falah Saleem, Karwan Hushyar Sherwani

    Published 2022-10-01
    “…It was sent out to 300 employees via the official email of the university, and the researchers received 68 responses. Then the sample answers were used to calculate the results. …”
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    Article
  9. 789

    Toward interpretable expected goals modeling using Bayesian mixed models by Loïc Iapteff, Sebastian Le Coz, Maxime Rioland, Titouan Houde, Titouan Houde, Christopher Carling, Frank Imbach, Frank Imbach

    Published 2025-04-01
    “…This study uses a Bayesian generalized linear mixed-effects model to introduce a simple and interpretable xG modeling approach. …”
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    Article
  10. 790

    Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application by Anupam Yadav, B. Jayaprakash, Laith Hussein Jasim, Mayank Kundlas, Maan Younis Anad, Ankur Srivastava, M. Janaki Ramudu, B. Bharathi, Prabhat Kumar Sahu

    Published 2025-07-01
    “…The study explores predictive modeling for the release variable in a dataset including 155 samples with over 1500 spectral variables. Partial least squares (PLS) was applied for dimensionality reduction, and models such as AdaBoost with linear regression, multilayer perceptron (MLP), and Theil-Sen regression were utilized, achieving the highest predictive performance with the AdaBoost-MLP model (R2 = 0.994, MSE = 0.000368). …”
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  11. 791

    Understanding the large deformation response of paste-like 3D food printing inks by Bugday Yagmur, Alicke Alexandra, Anderson Patrick, van der Sman Ruud

    Published 2025-05-01
    “…The model parameters were estimated by non-linear least-squares fitting. The constitutive model successfully predicted the sample response at large deformations and the steady-shear flow response, such as those encountered in 3D food printing. …”
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  12. 792

    Financial inclusion and Financial Performance: The interplay role of capital adequacy requirements in Egyptian Banks by Yousra R. Obiedallah, Asmaa H. Abdelaziz

    Published 2024-08-01
    “…Design/methodology/approach The study uses two empirical linear mixed models (LMM) to test the moderation effect of a bank’s CAR on the association between FI and FP. …”
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  13. 793

    Any Way the Wind Blows Does Really Matter in Lichen Response to Air Pollution from an Oil Refinery by Maja Maslać Mikulec, Saša Likić, Oleg Antonić, Mirta Tkalec

    Published 2025-02-01
    “…Our analysis employed generalized linear models (GLMs) to incorporate various environmental predictors, including distance from the refinery, direction-specific wind speed and frequency, vegetation density, and the orientation of lichen samples with respect to north and the refinery. …”
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  14. 794

    Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing by Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle

    Published 2024-01-01
    “…This VIB-based estimator is continuously fine-tuned with a mixture of samples from both the source and target domains until convergence. …”
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    An approach to the meso-scale epidemiological behavior of Plasmodiophora brassicae from cruciferous crops under tropical conditions; Supplementary material by Andres F. Quintero-Mercado, Juan Camilo Garcia-Peña, Andrea Botero-Ramirez, Celsa Garcia, Joaquín Guillermo Ramírez-Gil

    Published 2025-07-01
    “…The forecast models were determined by fitting a Generalized Linear Model (GLM) using the logit and inverse link functions for binomial and gamma distributions, respectively. …”
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  17. 797

    Estimation of Cation Exchange Capacity for Low-Activity Clay Soil Fractions Using Experimental Data from South China by Jun Zhu, Zhong-Xiu Sun

    Published 2024-11-01
    “…We conducted a study on 122 pedons in South China, focusing on highly weathered and strongly leached soils. Samples from the B horizon were used, and eight models and PTFs (four machine learning methods, multiple linear regression (MLR) and three PTFs from publication) were evaluated for their predictive performance. …”
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  18. 798

    Epigenetic Regulation of Sorbitol Dehydrogenase in Diabetic Retinopathy Patients: DNA Methylation, Histone Acetylation and microRNA-320 by Amin R, Permana H, Kartasasmita AS, Hilmanto D, Hidayat R

    Published 2025-04-01
    “…Further researches are needed to validate the results and mechanism underlying the correlation between epigenetic regulation SDH in DR.Keywords: case control studies, genetic, linear models, microRNAs, type 2 diabetes mellitus…”
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