Results 191 to 200 of about 93,507 (297)

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

AET-FRAP-A Periodic Reshape Transformer Framework for Rock Fracture Early Warning Using Acoustic Emission Multi-Parameter Time Series. [PDF]

Sensors (Basel)
Yang D, Zhang Z, Yang Z, Li Y, Jin L.
europepmc   +1 more source

Interpolation of Multivariate Data Using Voronoi Diagrams (Algorithm Engineering as a New Paradigm)

, 1999
Hisamoto Hiyoshi, Kōkichi Sugihara
openalex   +1 more source

Fast interpolation of multivariate polynomials with sparse exponents

Joris van der Hoeven, Grégoire Lecerf
openalex   +2 more sources

Efficient Numerical Framework for Geothermal Energy Production Optimization in Fracture‐Controlled Reservoirs

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce an efficient open‐source numerical framework for the automated search for the placements of injection and production wells in hot fracture‐controlled reservoirs that sustainably optimize geothermal energy production. We model the reservoirs as discrete fracture networks in 3D. The fluid flow and heat transport in the reservoirs are modeled
Ondřej Pártl, Ernesto Meneses Rioseco
wiley   +1 more source

Characterizing the fine-scale spatial distribution of soil phosphorus for efficient phosphorus management in an Illinois tile-drained field. [PDF]

J Environ Qual
Ferrari LA, Gentry LE, Andino LF, Fraterrigo JM.   +3 more
europepmc   +1 more source

Multivariate Lagrange Interpolation at Sinc Points Error Estimation and Lebesgue Constant

, 2016
Maha Youssef, Hany A. El-Sharkawy, Gerd Baumann   +2 more
openalex   +2 more sources

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

Food Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

Forecasting electricity consumption of India through nighttime satellite imagery. [PDF]

PLoS One
R D, Kumar A, Vensuslaus MA, C A R, John Victor JT.   +4 more
europepmc   +1 more source

Multivariate Polynomial Interpolation and the Lifting Scheme with an Application to Scattered Data Approximation

, 2013
Dominik Stahl
openalex   +1 more source