Results 81 to 90 of about 641 (195)

Uncertainty Quantification for the Transient Response of Human Equivalent Antenna Using the Stochastic Collocation Approach

International Journal of Antennas and Propagation, 2019
The paper deals with the uncertainty quantification of the transient axial current induced along the human body exposed to electromagnetic pulse radiation. The body is modeled as a straight wire antenna whose length and radius exhibit random nature.
Anna Šušnjara, Dragan Poljak
doaj   +1 more source

Uncertainty quantification and Heston model

Journal of Mathematics in Industry, 2018
In this paper, we study the impact of the parameters involved in Heston model by means of Uncertainty Quantification. The Stochastic Collocation Method already used for example in computational fluid dynamics, has been applied throughout this work in ...
María Suárez-Taboada, Jeroen A. S. Witteveen, Lech A. Grzelak, Cornelis W. Oosterlee   +3 more
doaj   +1 more source

Modeling Transient Groundwater Flow in Unconfined Aquifers Under Dynamic Conditions Using Physics‐Informed Neural Networks

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Deep learning neural networks (DLNNs) hold great potential for modeling groundwater flow, but their performance depends on data availability. Physics‐informed neural networks (PINNs) help to reduce the reliance of DLNNs on data by integrating physical laws into the training process. This approach is increasingly used in applications related to
Adhish Virupaksha, François Lehmann, Hussein Hoteit, Anis Younes, Marwan Fahs, Thomas Nagel   +5 more
wiley   +1 more source

Sensemaking of Process Data from Evaluation Studies of Educational Games: An Application of Cross‐Classified Item Response Theory Modeling

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Process information collected from educational games can illuminate how students approach interactive tasks, complementing assessment outcomes routinely examined in evaluation studies. However, the two sources of information are historically analyzed and interpreted separately, and diagnostic process information is often underused.
Tianying Feng, Li Cai
wiley   +1 more source

Collocation method for stochastic delay differential equations

Probabilistic Engineering Mechanics, 2023
Gergő Fodor, Henrik T. Sykora, Dániel Bachrathy   +2 more
openaire   +1 more source

Exposing and Reducing Biases of Simulating Mixed‐Phase Clouds in the Convection‐Permitting E3SM Atmosphere Model: Lessons From an Arctic Cold‐Air Outbreak

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 3, 16 February 2026.
Abstract Mixed‐phase clouds modulate the water and energy cycles of high‐latitude regions, yet their liquid‐ice phase partitioning has long been poorly simulated in climate models. Here, simulations of Arctic mixed‐phase clouds by the Simple Cloud‐Resolving E3SM Atmosphere Model (SCREAM) are assessed against large‐eddy simulations, satellite data, and ...
Lin Lin, Yunyan Zhang, Hassan Beydoun, Xue Zheng, Meng Zhang, Peter Bogenschutz, Peng Wu, Peter M. Caldwell   +7 more
wiley   +1 more source

Hyper‐Reduced Model Based on the Proper Orthogonal Decomposition and the LU Factorization Applied to the Neutron Diffusion Eigenvalue Problem

International Journal for Numerical Methods in Engineering, Volume 127, Issue 3, 15 February 2026.
ABSTRACT An efficient method for solving large eigenvalue problems efficiently can be developed using hyper‐reduced order models, such as those arising from the LU Proper Orthogonal Decomposition (LUPOD). The LUPOD employs dominant orthogonal modes along with a flexible number of collocation points to establish a reduced scalar product, thereby ...
A. Vidal‐Ferràndiz, A. Carreño, E. Javaloyas, D. Ginestar, G. Verdú   +4 more
wiley   +1 more source

Stochastic collocation methods via minimization of Transformed $L_1$ penalty

, 2018
18 pages, 8 ...
Guo, Ling, Li, Jing, Liu, Yongle
openaire   +2 more sources

An RBF-LOD Method for Solving Stochastic Diffusion Equations

Journal of Mathematics
In this study, we introduce an innovative approach to solving stochastic equations in two and three dimensions, leveraging a time-splitting strategy. Our method combines radial basis function (RBF) spatial discretization with the Crank–Nicolson scheme ...
Samaneh Mokhtari, Ali Mesforush, Reza Mokhtari, Rahman Akbari   +3 more
doaj   +1 more source

Robust Design Optimization of Viscoelastic Damped Composite Structures Integrating Model Order Reduction and Generalized Stochastic Collocation

Aerospace
This study presents a novel approach that integrates model order reduction (MOR) and generalized stochastic collocation (gSC) to enhance robust design optimization (RDO) of viscoelastic damped composite structures under material and geometric ...
Tianyu Wang, Chao Xu, Teng Li
doaj   +1 more source