Analysis of the influence of nonlocal factors on the vibration of Rayleigh nonlocal nanobeams on elastic foundations. [PDF]
Zhao K, Wang G, Zhou Z, Wang L.
europepmc +1 more source
Model‐Free Data‐Driven Computational Analysis for Soil Consolidation Problems
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
Occupation Times on the Legs of a Diffusion Spider. [PDF]
Salminen P, Stenlund D.
europepmc +1 more source
Masanori MONDE +4 more
openaire +2 more sources
Bayesian Neural Network Prediction and Uncertainty Analysis of Bio‐Cemented Soil Strength
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
A Knowledge-Guide Data-Driven Model with Selective Wavelet Kernel Fusion Neural Network for Gearbox Intelligent Fault Diagnosis. [PDF]
Zhuang N, Ren Z, Yang D, Tian X, Wang Y.
europepmc +1 more source
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
Kinetic Monte Carlo methods for three-dimensional diffusive capture problems in exterior domains. [PDF]
Bernoff AJ, Lindsay AE.
europepmc +1 more source
Benchmarking Sparse Variable Selection Methods for Genomic Data Analyses
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
Bounds on Fluctuations of First Passage Times for Counting Observables in Classical and Quantum Markov Processes. [PDF]
Bakewell-Smith G +3 more
europepmc +1 more source

