Results 91 to 100 of about 5,570,115 (211)
Volumetric Inverse Rendering via Neural Radiative Transfer
Abstract Volumetric inverse rendering seeks to recover the optical properties of participating media from images. Existing approaches either rely on differentiable stochastic light transport simulation, which require substantial algorithmic effort, or use simplified models that fail to capture global illumination.
Ntumba Elie Nsampi +4 more
wiley +1 more source
Three critical frequencies independent of boundary conditions together with a critical length, which determine the vibration behaviors of a nonlocal Timoshenko beam, are identified.
张吟 +1 more
core +1 more source
KPI‐NeRF: Hyperspectral Neural Radiance Fields from a Single Kaleidoscopic Plenoptic Image
KPI‐NeRF reconstructs hyperspectral light field images from a single kaleidoscopic plenoptic image. By leveraging neural radiance fields, it enables high‐quality spectral and angular de‐multiplexing for dynamic scene capture. Abstract Plenoptic imaging has excessive sampling requirements associated with the high dimensionality of the desired data.
Erqi Huang +3 more
wiley +1 more source
Continuum limits of nonlocal $p$-Laplacian variational problems on graphs
Accepté dans SIAM Journal on Imaging SciencesInternational audienceIn this paper, we study a nonlocal variational problem which consists of minimizing in $L^2$ the sum of a quadratic data fidelity and a regularization term corresponding to the $L^p$-norm
Hafiene, Yosra +2 more
core +2 more sources
Beyond the Wind: Mapping Externalities and Their Role in Shaping Willingness To Pay for Wind Energy
ABSTRACTWind power plays a central role in global low‐carbon energy transitions, offering significant environmental benefits through reduced greenhouse gas emissions and decreased reliance on fossil fuels. Yet, local opposition to wind projects persists, often driven by perceived externalities affecting communities and landscapes. This study conducts a
Gianluigi De Pascale +3 more
wiley +1 more source
The Evolution of Interest‐Rate Models: From the Yield Curve to the Swaption Cube
ABSTRACT Interest‐rate modelling is often taught as a catalogue of competing stochastic equations, obscuring why models were created and why modern sell‐side desks use several simultaneously. This survey reorganises the field around five layers of a pricing architecture: curve construction; arbitrage‐free dynamics; volatility‐smile representation ...
Xuan Feng +2 more
wiley +1 more source
Firm Productivity and Exit During Economic Crisis: Does Market Potential Foster Resilience?
ABSTRACT This paper examines the relationship between firm productivity, market potential, and firm exit over the economic cycle, focusing on the COVID‐19 crisis. Using Spanish firm‐level data (2011–2022), we analyse how market potential shapes the link between productivity and survival.
Sabine D'Costa, Adelheid Holl
wiley +1 more source
Structure and asymptotic expansion of eigenvalues of an integral-type nonlocal problem
We study the structure of eigenvalues of second-order differential equations with nonlocal integral boundary conditions. Moreover, we consider the asymptotic expansion of the eigenvalues and the corresponding eigenfunctions, which shows that the ...
Zhong-Cheng Zhou, Fang-Fang Liao
doaj
Abstract This study investigates the role of locality (a task/material‐related variable), demographic factors (age, education, and sex), cognitive capacities (verbal working memory [WM], verbal short‐term memory [STM], speed of processing [SOP], and inhibition), and morphosyntactic category (time reference and grammatical aspect) in verb‐related ...
Marielena Soilemezidi +3 more
wiley +1 more source
The Dirichlet problem for nonlocal operators
Felsinger M, Kaßmann M, Voigt P. The Dirichlet problem for nonlocal operators. Mathematische Zeitschrift. 2015;279(3-4):779-809.In this note we set up the elliptic and the parabolic Dirichlet problem for linear nonlocal operators.
Kaßmann, Moritz ; https://orcid.org/ +2 more
core +1 more source

