Results 81 to 90 of about 414 (185)
Authoring Terrestrial Planets with Diffusion Models
Computer Graphics Forum, EarlyView.Abstract To support the design and subsequent generation of terrestrial planets for use in the creative media, we propose a solution that employs a generative model trained on satellite data from planetary bodies with a defined solid surface, such as the Earth and Mars.
Oliver Borg +6 more
wiley +1 more source
Testing for Unspecified Periodicities in Binary Time Series
Journal of Time Series Analysis, EarlyView.ABSTRACT Given random variables Y1,…,Yn$$ {Y}_1,\dots, {Y}_n $$ with Yi∈{0,1}$$ {Y}_i\in \left\{0,1\right\} $$ we test the hypothesis whether the underlying success probabilities pi$$ {p}_i $$ are constant or whether they are periodic with an unspecified period length of r≥2$$ r\ge 2 $$.
Finn Schmidtke, Mathias Vetter
wiley +1 more source
Boundedness of bilinear radial Fourier multipliers
We show that a bilinear radial Fourier multiplier operator with symbol $σ$ is $L^2(\R^n)\times L^2(\R^n) \to L^1(\R^n)$ bounded, $n\in \mathbb N,$ if the function $σ$ satisfies the smoothness condition $σ(2^j\cdot)Φ\in L^2_{1/2 +ε}(\mathbb R^{2n})$ for some $ε>0$ and every $j\in \mathbb Z,$ where $Φ$ is a smooth cutoff function adapted to the ...
Honzík, Petr, Maleček, Matyáš
openaire +2 more sources
A Note on Local Polynomial Regression for Time Series in Banach Spaces
Journal of Time Series Analysis, EarlyView.ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley +1 more source
The space of bilinear Fourier multipliers as a dual space
Hokkaido Mathematical Journal, 2006 Figa-Talamanca characterized the space of Fourier multipliers as a dual space of a certain Banach space. In this paper, we give the similar result for bilinear Fourier multipliers.
openaire +2 more sources
Photochemistry and Photobiology, EarlyView.Three methods for substituting on‐site ambient ultraviolet radiation measurements for personal exposure measurements were investigated. Assuming spatial persistency of measurements from high‐grade instruments delivers lowest uncertainties up to distances of 82 km.
F. Lubitz +7 more
wiley +1 more source
The Journal of Physiology, EarlyView.Abstract figure legend Using a multiscale computational model of left ventricular electromechanics, we investigated how sarcomere dynamics influence the end‐systolic pressure‐volume (ESPV) relationship in ejecting beats compared to isovolumetric beats.
Francesco Regazzoni +2 more
wiley +1 more source
Inverse problems for semilinear elliptic PDE with a general nonlinearity a(x,u)$a(x,u)$
Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.Abstract This article studies the inverse problem of recovering a nonlinearity in an elliptic equation Δu+a(x,u)=0$\Delta u + a(x,u) = 0$ from boundary measurements of solutions. Previous results based on first‐order linearization achieve this under a sign condition on ∂ua(x,u)$\partial _u a(x,u)$, and results based on higher order linearization ...
David Johansson +2 more
wiley +1 more source
Multicontinuum Homogenization for Poroelasticity Model
International Journal for Numerical Methods in Fluids, Volume 98, Issue 9, Page 1035-1060, September 2026.This work derives a generalized multicontinuum poroelasticity model using the multicontinuum homogenization method to enable accurate coarse‐grid simulations of coupled flow–mechanics processes in highly heterogeneous porous media. Coupled constraint cell problems are formulated, and the corresponding multicontinuum equations are rigorously derived ...
Dmitry Ammosov +2 more
wiley +1 more source
Warming‐Induced Shifts in Relative Humidity Reshape Global Soil Organic Carbon Storage
Global Change Biology Communications, Volume 1, Issue 3, September 2026.We developed a four‐dimensional deep learning framework for predicting global soil organic carbon (SOC). It generates spatially explicit, soil depth‐resolved, and temporally connected SOC estimates. ABSTRACT Soil organic carbon (SOC) underpins food production, ecosystem functioning, and climate regulation.
Lidong Li +4 more
wiley +1 more source