Results 101 to 110 of about 38,177 (303)

On the Theory of Multilinear Singular Operators with Rough Kernels on the Weighted Morrey Spaces

Journal of Function Spaces, 2016
We study some multilinear operators with rough kernels. For the multilinear fractional integral operators TΩ,αA and the multilinear fractional maximal integral operators MΩ,αA, we obtain their boundedness on weighted Morrey spaces with two weights Lp,κ(u,
Sha He, Xiangxing Tao
doaj   +1 more source

Necessary and sufficient conditions for boundedness of multilinear fractional integrals with rough kernels on Morrey type spaces

Journal of Inequalities and Applications, 2016
In this article, we study necessary and sufficient conditions on the parameters of the boundedness on Morrey spaces and modified Morrey spaces for T Ω , α $T_{\Omega,\alpha}$ and M Ω , α $M_{\Omega,\alpha}$ , which are a multilinear fractional integral ...
Yanlong Shi, Zengyan Si, Xiangxing Tao, Yafeng Shi   +3 more
doaj   +1 more source

Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness

Advanced Intelligent Discovery, EarlyView.
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng, Jianan Tang, Ningxuan Wen, Jason Shaw, Siddhartha Sarkar, Lionel Vargas‐Gonzalez, Nicholas Ku, Jianhua Tong, Rajendra K. Bordia, Dongsheng Li, Fei Peng   +10 more
wiley   +1 more source

Autonomous Intuition for Advanced Manufacturing Systems: Benefits and Tradeoffs of Presampling for Autonomous Parameterization

Advanced Intelligent Discovery, EarlyView.
Sampling a design space to target a class of possible desirable outcomes, creating an artificial intuition, can accelerate future optimizations to those targets. This is tested experimentally with parameterization to achieve various geometries of freestanding structures using direct ink write (DIW) 3D printing.
Erick J. Braham, Marshall Johnson, Andrew Fassler, Surya R. Kalidindi, James Hardin   +4 more
wiley   +1 more source

Boundedness of a class of rough maximal functions

Journal of Inequalities and Applications, 2018
In this work, we obtain appropriate sharp bounds for a certain class of maximal operators along surfaces of revolution with kernels in Lq(Sn−1) $L^{q}(\mathbf{S}^{n-1})$, q>1 $q > 1$.
Mohammed Ali, Omar Al-mohammed
doaj   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Geometric singularities and a flow tangent to the Ricci flow

, 2017
We consider a geometric flow introduced by Gigli and Mantegazza which, in the case of smooth compact manifolds with smooth metrics, is tangen- tial to the Ricci flow almost-everywhere along geodesics.
Bandara, Lashi, Lakzian, Sajjad, Munn, Michael   +2 more
core  

UltRAP‐Net: Reverse Approximation of Tissue Properties in Ultrasound Imaging

Advanced Intelligent Systems, EarlyView.
This study proposes a reverse approximation neural network (UltRAP‐Net) to extract underlying physics‐aware properties using multiple images with distinct appearances obtained at the same location of tissues. Through this robust approximation, the study advances the use of ultrasound images by opening potentials for various applications such as physics‐
Yingqi Li, Ka‐Wai Kwok, Magdalena Wysocki, Nassir Navab, Zhongliang Jiang   +4 more
wiley   +1 more source

A note on singular integrals with angular integrability

Journal of Inequalities and Applications, 2019
In this note we study the rough singular integral TΩf(x)=p.v.∫Rnf(x−y)Ω(y/|y|)|y|ndy, $$ T_{\varOmega }f(x)=\mathrm{p.v.} \int _{\mathbb{R}^{n}}f(x-y)\frac{\varOmega (y/ \vert y \vert )}{ \vert y \vert ^{n}}\,dy, $$ where n≥2 $n\geq 2$ and Ω is a ...
Feng Liu
doaj   +1 more source

L^p bounds for singular integrals and maximal singular integrals with rough kernels [PDF]

, 1998
Loukas Grafakos, Atanas Stefanov
openalex   +1 more source