Results 211 to 220 of about 90,668 (272)

Model‐Free Data‐Driven Computational Analysis for Soil Consolidation Problems

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 2, Page 1166-1175, 10 February 2026.
ABSTRACT Soils are inherently uncertain natural materials. In geotechnical engineering, soil properties are fundamentally characterised by testing small samples. The results will then be utilised to determine appropriate geomaterial constitutive models and associated parameters for implementation in conventional computational procedures such as finite ...
Wuzhou Zhai   +3 more
wiley   +1 more source

Analytical Method of Two Dimensional Inverse Heat Conduction Problem using Laplace Transformation. Effect of Measuring Point Number.

open access: yesTRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B, 2002
Masanori MONDE   +4 more
openaire   +2 more sources

Bayesian Neural Network Prediction and Uncertainty Analysis of Bio‐Cemented Soil Strength

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 3, Page 1349-1366, 25 February 2026.
ABSTRACT Microbially induced carbonate precipitation (MICP) has emerged as a promising ground improvement technique, with MICP‐treated soils exhibiting substantial enhancements in strength. However, experimental results revealed significant variability in strength outcomes of MICP‐treated soils, even under identical treatment conditions and soil ...
Aoxi Zhang   +4 more
wiley   +1 more source

An Extended Krylov Subspace Method for Decoding Edge‐Based Compressed Images by Homogeneous Diffusion

open access: yesNumerical Linear Algebra with Applications, Volume 33, Issue 1, February 2026.
ABSTRACT The heat equation is often used to inpaint dropped data in inpainting‐based lossy compression schemes. We propose an alternative way to numerically solve the heat equation by an extended Krylov subspace method. The method is very efficient with respect to the computation of the solution of the heat equation at large times.
Volker Grimm, Kevin Liang
wiley   +1 more source

Benchmarking Sparse Variable Selection Methods for Genomic Data Analyses

open access: yesStatistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT Genomics and other studies encounter many features and a selection of essential features with high accuracy is desired. In recent years, there has been a significant advancement in the use of Bayesian inference for variable (or feature) selection.
Hema Sri Sai Kollipara   +3 more
wiley   +1 more source

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