Results 51 to 60 of about 691 (194)

Uncertainty Quantification in Small-Timescale Model-Based Fatigue Crack Growth Analysis Using a Stochastic Collocation Method

Metals, 2020
Due to the uncertainties originating from the underlying physical model, material properties and the measurement data in fatigue crack growth (FCG) processing, the prediction of fatigue crack growth lifetime is still challenging.
Hesheng Tang, Xueyuan Guo, Songtao Xue
doaj   +1 more source

Rewiring Droplet Interface Synapses

Advanced Intelligent Systems, EarlyView.
Droplet interface synapses are used to create a neuromorphic network. Voltage pulses draw the droplets into contact and enable rewiring of the network through electrowetting. Results show that the heterogeneous droplet compositions and pore‐forming molecules may be used to tune the neuromorphic properties of the device using trapped charge as a form of
Sarita Shrestha, Eric Freeman
wiley   +1 more source

A mixed-method to numerical simulation of variable order stochastic advection diffusion equations

Alexandria Engineering Journal
The study of stochastic problems is very important and there is an increasing demand for investigating the behavior of a number of sophisticated dynamical systems in different areas of science as well as in engineering and finance.
H. Jafari, R.M. Ganji, S. Salati, S.J. Johnston   +3 more
doaj   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

International Journal for Numerical Methods in Fluids, EarlyView.
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime, B. Després, M. A. Puscas, C. Fiorini   +3 more
wiley   +1 more source

A combined collocation and Monte Carlo method for advection-diffusion equation of a solute in random porous media

ESAIM: Proceedings and Surveys, 2014
In this work, we present a numerical analysis of a method which combines a deterministic and a probabilistic approaches to quantify the migration of a contaminant, under the presence of uncertainty on the permeability of the porous ...
Erhel Jocelyne, Mghazli Zoubida, Oumouni Mestapha   +2 more
doaj   +1 more source

A dramaturgy of uncertainty: Transdisciplinary manoeuvres across forestry and theatre

People and Nature, EarlyView.
Abstract The uncertainties of climate change mean that forestry adaptation strategies are often complex and contested. Research has suggested that there is an interest in the forestry sector for facilitated dialogue about uncertainty (de Pellegrin Llorente et al., 2023).
Rachel Clive, Deirdre Heddon, Jordan Rydlewski, David Edwards, Chris Fremantle   +4 more
wiley   +1 more source

Speciation with gene flow

PLANTS, PEOPLE, PLANET, EarlyView.
Biodiversity is threatened by human activities, with extinction debt accumulating rapidly. Many of these activities change the connectivity of populations, fragmenting existing population systems or bringing previously isolated populations or species into contact.
Zhiqin Long, Xu Zhang, Yue Yu, Gregory L. Owens, Diana J. Rennison, Clarisse Palma‐Silva, Daniel Ortiz‐Barrientos, Loren H. Rieseberg   +7 more
wiley   +1 more source

COLLOCATING VOLATILITY: A COMPETITIVE ALTERNATIVE TO STOCHASTIC LOCAL VOLATILITY MODELS

International Journal of Theoretical and Applied Finance, 2020
We discuss a competitive alternative to stochastic local volatility models, namely the Collocating Volatility (CV) framework, introduced in [L. A. Grzelak (2019) The CLV framework — A fresh look at efficient pricing with smile, International Journal of Computer Mathematics 96 (11), 2209–2228].
van der Stoep, A.W. (author), Grzelak, L.A. (author), Oosterlee, C.W. (author)   +2 more
openaire   +4 more sources

Assessing the impact of model biases on subseasonal forecast skill

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Relaxation experiments where the nudging was performed towards bias‐corrected integrations of the same model display significantly improved skill at weeks 3 and 4, particularly in the northern extratropics. This indicates that there is a large potential for improving dynamical subseasonal forecasting skill by improved treatment of model biases.
Frédéric Vitart, Magdalena Balmaseda
wiley   +1 more source