Results 151 to 160 of about 5,177,241 (299)
Repeated significance tests of a multi-parameter in survival analysis [PDF]
, 2010 This paper illustrates a martingale method of constructing repeated significance tests for a multi-dimensional parameter in survival analysis by reducing it to tests for one-dimensional parameters.
Chang, I-shou; Hsiung, Chao A.; 黃連成; Hwang, Leng-cheng
core
A multi parameter approach for predicting initial dissolution rate of silicate glasses
npj Materials DegradationThe prediction of a glass’ initial dissolution rate (r 0 ) is crucial for various applications in industry, nuclear waste management, and healthcare. The primary limitations of existing approaches are the lack of dissolution behavior classification and ...
Faijan +4 more
doaj +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
An OPGW Multi-Parameter Ice Thickness Combination Prediction Method
Guangtongxin yanjiuObjectiveOptical Fiber Composite Overhead Ground Wire (OPGW) is a kind of composite fiber optic cable designed for high-voltage transmission lines, which has a wide range of applications in power transmission lines.
LIU Danni +4 more
doaj
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Multi-Model System Parameter Estimation
, 2007 We pose a multi-model system parameter estimation problem. A multi-model system is a linearly parameterized system H(z, p) = #np i=1 p i H i (z). The parameter estimation problem is: given the set of systems i=1 , describing the multi-model system ...
Ivan Markovsky +2 more
core
A Multi-Parameter Gaussian Process
The Annals of Mathematical Statistics, 1970 openaire +2 more sources
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source