Results 141 to 150 of about 4,577,308 (305)
Semi-supervised regression using Hessian energy with an application to semi-supervised dimensionality reduction [PDF]
, 2009 Semi-supervised regression based on the graph Laplacian suffers from the fact that the solution is biased towards a constant and the lack of extrapolating power.
Hein, Matthias +8 more
core
Semi-parametric regression models for risk differences, rate differences and relative risks
, 2016 Two fundamental biostatistical measures are the risk and the rate of event occurrence, representing the probability of an event and the expected number of events during a fixed time period.
Mark William Donoghoe (12308651)
core +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Semi-parametric analysis of dynamic contrast-enhanced MRI using bayesian P-splines
, 2006 Current approaches to quantitative analysis of DCE-MRI with non-linear models involve the convolution of an arterial input function (AIF) with the contrast agent concentration at a voxel or regional level.
Whitcher, B., Yang, G.-Z., Schmid, V.J.
core +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Two Stage Semi Parametric Quantile Regression [PDF]
We propose a root n consistent estimator for B0 when the qth conditional quantile of Y given X=x and Z=z takes the semi linear form g(x)+z'B0 where g(.) is an un- known real valued function,B0 a finite dimensional parameter and (X,Z) a couple of ...
J. M. Krief
core
Advanced Science, EarlyView.The role of TNFα in the process of renal allograft interstitial fibrosis is complex and multifaceted. As it can promote renal allograft interstitial fibrosis by inducing mitochondrial dysfunction and EndMT, and also mediating compensatory mitophagy through the NEDD4–HIF‐1α–BNIP3 pathway, which clears damaged mitochondria and inhibits EndMT, thereby ...
Dengyuan Feng +15 more
wiley +1 more source
Efficiency Analysis of Rural Hospitals: Parametric and Semi-parametric Approaches [PDF]
This paper examined cost efficiency differences between rural hospitals participating in the Critical Access Hospital (CAH) Program and a group of non-converting, prospectively paid rural hospitals using both a two-stage semi-parametric approach as well ...
Nedelea, I. Cristian +1 more
core
Advanced Science, EarlyView.This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Demonstratio MathematicaThe aim of this article is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random (MAR).
Benchikh Tawfik +3 more
doaj +1 more source