Results 211 to 220 of about 19,228,694 (296)

Upper and lower solutions method and a singular superlinear boundary value problem for the one-dimensional p-Laplacian

, 2001
Daqing Jiang
openalex   +1 more source

Local Hölder regularity of gradients for evolutional p-Laplacian systems [PDF]

, 2002
Masashi Misawa
openalex   +1 more source

$C^{1,\alpha}$ Local Regularity for the Solutions of the $p$-Laplacian on the Heisenberg Group for $2≤p<1+\sqrt5$

, 2001
Silvana Marchi
openalex   +2 more sources

INFINITELY MANY SOLUTIONS TO THE NEUMANN PROBLEM FOR ELLIPTIC EQUATIONS INVOLVING THE p-LAPLACIAN AND WITH DISCONTINUOUS NONLINEARITIES [PDF]

, 2002
Pasquale Candito
openalex   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Equations with a $p$-Laplacian and an asymmetric nonlinear term

, 2001
C. Fabry, Raúl Manásevich
openalex   +1 more source

Existence theorems for entire solutions of stationary Kirchhoff fractional p-Laplacian equations

, 2016
Maicol Caponi, P. Pucci
semanticscholar   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Positive solutions of inequality with $p$-Laplacian in exterior domains [PDF]

, 2002
Robert Mařı́k
openalex   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source