Results 71 to 80 of about 8,395,195 (223)

Machine learning models for predicting unconfined compressive strength: A case study for Precambrian basement complex rocks from Ado-Ekiti, Southwestern Nigeria

Scientific African, 2023
This study investigates the applicability of four distinct machine learning (ML) models – Random Forest (RF), Relevance Vector Machine (RVM), Support Vector Machine (SVM), and Artificial Neural Network (ANN) - for predicting the unconfined compressive ...
Lekan Olatayo Afolagboye, Damilola Emmanuel Ajayi, Inioluwa Opeyemi Afolabi   +2 more
doaj   +1 more source

Bayesian Regularisation in Structured Additive Regression Models for Survival Data [PDF]

, 2008
During recent years, penalized likelihood approaches have attracted a lot of interest both in the area of semiparametric regression and for the regularization of high-dimensional regression models.
Konrath, Susanne, Kneib, Thomas, Fahrmeir, Ludwig   +2 more
core   +1 more source

Urodynamic and Anamnestic Predictors for Individual Dose Adjustment of Intravesical Oxybutynin in Neurogenic Detrusor Overactivity: Results From the UPSIDE Study

Neurourology and Urodynamics, Volume 45, Issue 7, Page 1319-1327, September 2026.
ABSTRACT Introduction Intravesical oxybutynin (IVO) is a 2nd line treatment option for patients with neurogenic detrusor overactivity (NDO) who are not adequately managed by oral anticholinergics. The UPSIDE study aimed to identify urodynamic and anamnestic predictors for achieving a therapeutically satisfactory dose (TSD) of 1 mg/mL IVO and to ...
Arndt Van Ophoven, Severine Banek, Kristin Becker, Markus Heibel, Almut Hirsch, Margot Kieruj, Ines Kurze, Anja Lingnau, Barbara Ludwikowski, Tobias Luithle, Fabian Queissert, Wolfgang Rösch, Oliver Schindler, Regina Stredele, Thomas Michael Karl Völkl, Quentin Leidl, Michael Gedamke   +16 more
wiley   +1 more source

Robust bayesian inference in empirical regression models [PDF]

, 1991
Broadening the stochastic assumptions on the error terms of regression models was prompted by the analysis of linear multivariate t models in Zellner (1976).
Osiewalski, Jacek, Steel, Mark F.J.
core   +1 more source

Time-varying sparsity in dynamic regression models [PDF]

, 2014
A novel Bayesian method for inference in dynamic regression models is proposed where both the values of the regression coefficients and the importance of the variables are allowed to change over time.
Griffin, Jim E., Griffin, J., Kalli, Maria, Kalli, M.   +3 more
core   +1 more source

Native Label‐Free Spectral Biochemical Fingerprinting of an Enveloped Mammalian RNA Virus Reveals Mode of Action of a Virucidal Drug

Small Methods, Volume 10, Issue 18, 23 September 2026.
Deep‐Ultraviolet Resonance Raman (DUVRR) spectroscopy is introduced as a label‐free, non‐invasive analytical workflow for the biochemical fingerprinting of enveloped viruses. By integrating bottom‐up stoichiometric reconstruction with top‐down biochemical extraction, this strategy accurately disentangles complex viral compositions in physiological‐like
Denis Rajnovic, Fatima Matroodi, Lamyaa M. Almehmadi, Tea Carletti, Alessandro Gessini, Igor K. Lednev, Claudio Masciovecchio, Alessandro Marcello, Barbara Rossi   +8 more
wiley   +1 more source

Multilinear Regression–Based Rock Physics Template Modeling for Sandstone Reservoir Characterization

Scientific Contributions Oil and Gas
Rock Physics Templates (RPT) are widely used to link petrophysical parameters with elastic properties for fluid identification in reservoir characterization. Previous studies have demonstrated the potential of RPT for fluid detection method; however, well-defined procedures for determining rock matrix parameters and P-wave velocity (Vp) as the basis ...
Muhammad Alif Fahrizi, Ignatius Winardhi
openaire   +1 more source

Taking Stock: Elite Studies and Social Change

The British Journal of Sociology, Volume 77, Issue 4, Page 829-843, September 2026.
ABSTRACT This article provides a systematic synthesis of contemporary elite sociology through the analytical lens of change and stability. We distinguish between two types of change: change within elites, referring to transformations in elite composition, circulation, or internal characteristics; and change by elites, designating processes whereby ...
Lena Ajdacic, François Schoenberger, Johanna Behr, Fabio Cescon, Lion Hubrich, Emma Ischinsky, Muneeb Salman, Juliana Mazzucotelli, Laura Mrčela, Alonso Pi Cholula, Céline Roy, Sophie Serrano, Helle Dyrendahl Staven, Tina Thakur   +13 more
wiley   +1 more source

Face Hallucination with Linear Regression Model in Semi-Orthogonal Multilinear PCA Method

Journal of Physics: Conference Series, 2018
In this paper, we propose a new face hallucination technique, face images reconstruction in HSV color space with a semi-orthogonal multilinear principal component analysis method. This novel hallucination technique can perform directly from tensors via tensor-to-vector projection by imposing the orthogonality constraint in only one mode.
openaire   +1 more source

The use of output-dependent data scaling with artificial neural networks and multilinear regression for modeling of ciprofloxacin removal from aqueous solution [PDF]

Journal of Water Reuse and Desalination, 2016
In this study, an experimental system entailing ciprofloxacin hydrochloride (CIP) removal from aqueous solution is modeled by using artificial neural networks (ANNs). For modeling of CIP removal from aqueous solution using bentonite and activated carbon, we utilized the combination of output-dependent data scaling (ODDS) with ANN, and the combination ...
Sakarya Üniversitesi/Adapazarı Meslek Yüksekokulu/Bilgisayar Teknolojileri Bölümü, Yurtsever, Ulaş, Esra Can Dogan, Nevim Genc, Yurtsever, Ulaş   +4 more
openaire   +4 more sources