Results 171 to 180 of about 15,675 (260)

Pointwise Multipliers on the Morrey Spaces

open access: yesPointwise Multipliers on the Morrey Spaces
A function g is called a pointwise multiplier from L^p〓to L^p〓, if the pointwise product fg belongs to L^p〓for each f∈L^p〓. We denote by PWM(L^p〓, Lp〓) the set of all pointwise multipliers from L^p〓to L^p〓. It is known that PWM(L^p〓, L^p〓)=L^p〓, 1/p〓+1/p〓=1/p〓. The purpose of this paper is to generalize the above equality to the Morrey spaces on spaces
openaire  

Data‐Based Refinement of Parametric Uncertainty Descriptions

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 6, Page 3210-3228, April 2026.
ABSTRACT We consider dynamical systems with a linear fractional representation involving parametric uncertainties which are either constant or varying with time. Given a finite‐horizon input‐state or input‐output trajectory of such a system, we propose a numerical scheme which iteratively improves the available knowledge about the involved constant ...
Tobias Holicki, Carsten W. Scherer
wiley   +1 more source

Diabetic retinopathy detection based on mobile maxout network and weber local descriptor feature selection using retinal fundus image. [PDF]

open access: yesSci Rep
Sheejakumari V   +7 more
europepmc   +1 more source

An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges. Therefore, we introduce a physics‐informed convolutional neural operator (CNO) (PICNO) to solve the Helmholtz equation efficiently.
X. Ma, T. Alkhalifah
wiley   +1 more source

CNXT‐Ti‐LT–Based Multi‐Scale Feature–Aware Susceptibility Mapping of Rainfall‐Induced Clustered Landslides in Southeast China

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract This study focuses on the clustered landslide event triggered by intense rainfall on 16 June 2024 in the Fujian–Guangdong–Jiangxi border region, aiming to develop an efficient deep learning model for high‐accuracy landslide susceptibility mapping. Based on the mapped landslide distribution and insights from field investigations, we constructed
Senlin Luo   +6 more
wiley   +1 more source

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