Results 131 to 140 of about 9,177 (234)
Multivariate and Online Transfer Learning With Uncertainty Quantification. [PDF]
Hickey J +3 more
europepmc +1 more source
Explicit‐Implicit Material Point Method for Dense Granular Flows With a Novel Regularized µ(I) Model
ABSTRACT The material point method (MPM) is widely employed to simulate granular flows. Although explicit time integration is favored in most current MPM implementations for its simplicity, it cannot rigorously incorporate the incompressible µ(I)‐rheology, an efficient model ubiquitously adopted in other particle‐based numerical methods. While operator‐
Hang Feng, Zhen‐Yu Yin
wiley +1 more source
Cauchy distribution optimizer for photovoltaic model parameter extraction and numerical optimization. [PDF]
Fang D, Zhou Q, Jun Y, Guo S, Guo P.
europepmc +1 more source
ABSTRACT Binary search trees (BSTs) are fundamental data structures whose performance is largely governed by tree height. We introduce a block model for constructing BSTs by embedding internal BSTs into the nodes of an external BST—a structure motivated by parallel data architectures—corresponding to composite permutations formed via Kronecker or ...
John Peca‐Medlin, Chenyang Zhong
wiley +1 more source
Interpretable Sensor Change Detection via Conditional Cauchy-Schwarz Divergence. [PDF]
Wang W, Shen Y, Ni Y, Wu W.
europepmc +1 more source
Forward and Adjoint Calculations of Gravitational Potential in Heterogeneous, Aspherical Planets
Abstract We have developed a computational package for the calculation of numerically exact internal and external gravitational potential, its functional derivatives and sensitivity kernels, in an aspherical, heterogeneous planet. We detail our implementation, utilizing a transformation of the Poisson equation into a spherical reference domain, as well
Alex D. C. Myhill +2 more
wiley +1 more source
Abstract In the present study, we extend a stochastic differential equation (SDE) model, the Ornstein–Uhlenbeck (OU) process, to the simultaneous analysis of time series of multiple variables by means of random effects for individuals and variables using a Bayesian framework.
José Ángel Martínez‐Huertas +1 more
wiley +1 more source
An efficient assignment of multiple agricultural machinery tasks based on Chaotic Cauchy Elite Variable Snake Optimization Algorithm. [PDF]
Xiang R +5 more
europepmc +1 more source
ABSTRACT Metal additive manufacturing (AM) provides a pathway for creating highly optimized components that would be difficult to produce using traditional manufacturing methods. However, regardless of printing parameters or postprocessing, porosity remains a prevalent challenge in AM components because strain concentrates in the vicinity of the pore ...
Erick Adan Ramirez +3 more
wiley +1 more source
Identification and Estimation of Large Network Games with Private Link Information
ABSTRACT We study the identification and estimation of large network games in which individuals choose continuous actions while holding private information about their links and payoffs. Extending the framework of Galeotti et al., we build a tractable empirical model of such network games and show that the parameters in individual payoffs are ...
Hülya Eraslan, Xun Tang
wiley +1 more source

