Results 81 to 90 of about 720,784 (299)

Families of Regular Graphs in Regular Maps

Journal of Combinatorial Theory, Series B, 2002
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Factorizations of regular graphs

Journal of Combinatorial Theory, Series B, 1992
Let G be a k-regular graph of order 2n such that \(k\geq n\). \textit{A. J. W. Hilton} [J. Graph Theory 9, 193-196 (1985; Zbl 0624.05050)] proved that G contains at least \(\lfloor k/3\rfloor\) edge-disjoint 1-factors. Hilton's theorem is improved in this paper that G contains at least \(\lfloor k/2\rfloor\) edge-disjoint 1-factors.
Cun-Quan Zhang, Yongjin Zhu
openaire   +3 more sources

Comparing parameter choice methods for regularization of ill-posed problems [PDF]

, 2011
In the literature on regularization, many different parameter choice methods have been proposed in both deterministic and stochastic settings. However, based on the available information, it is not always easy to know how well a particular method will ...
Bauer, F., Lukas, M.A.
core  

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

Hyperspectral Anomaly Detection via Low-Rank Representation with Dual Graph Regularizations and Adaptive Dictionary

Remote Sensing
In a hyperspectral image, there is a close correlation between spectra and a certain degree of correlation in the pixel space. However, most existing low-rank representation (LRR) methods struggle to utilize these two characteristics simultaneously to ...
Xi Cheng, Ruiqi Mu, Sheng Lin, Min Zhang, Hai Wang   +4 more
doaj   +1 more source

Nonlinear and oblique boundary value problems for the Stokes equations

Electronic Journal of Qualitative Theory of Differential Equations, 2011
In this paper we consider the nonlinear boundary value problem governed by a stationary perturbed Stokes system with mixed boundary conditions (Dirichlet- maximal monotone graph), in a smooth domain.
Hamid Benseridi, Mourad Dilmi
doaj   +1 more source

Highly Sensitive Spatial Host‐Microbiome Transcriptomics in FFPE Tissues via Iterative Hydrogel Expansion

Advanced Science, EarlyView.
Ex‐spRandom is a spatial transcriptomics platform that synergizes random‐primed chemistry with iterative hydrogel expansion. By physically decrowding the dense FFPE matrix, this scalable technology shatters the traditional resolution‐sensitivity barrier.
Shunji Zhang, Mengyuan Wang, Jiaye Chen, Yuyi Zhu, Bin Zhu, Ziye Xu, Yuan Liao, Yongcheng Wang   +7 more
wiley   +1 more source

Accounting for apparatus function when registering experimental data: peculiarity of choosing regularization parameter by L-curve criterion at deconvolution of the spectrum

Ядерна фізика та енергетика, 2019
Within the framework of the problem of spectrum deconvolution, variant of the choice of the regularization parameter by criterion of the L-curve, based on the displacement along the points of the L-curve graph, is proposed. An analysis of dependencies on
A. M. Sokolov
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MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Building a Graph Signal Processing Model Using Dynamic Time Warping for Load Disaggregation

Sensors, 2020
Building on recent unsupervised Non-intrusive load monitoring (NILM) algorithms that use graph Laplacian regularization (GLR) and achieve state-of-the-art performance, in this paper, we propose a novel unsupervised approach to design an underlying graph ...
Kanghang He, Vladimir Stankovic, Lina Stankovic   +2 more
doaj   +1 more source