Results 91 to 100 of about 121,348 (314)

Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging

open access: yesiRADIOLOGY, EarlyView.
The proposed Registration‐based Generative Adversarial Network‐Convolutional Block Attention Module (RegGAN‐CBAM) model efficiently and reliably generates virtual MR elastography using diffusion weighted imaging. Strong correlation between virtual and native MR elastography for liver stiffness and viscosity are observed.
Longyu Sun   +9 more
wiley   +1 more source

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach

open access: yesJournal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou   +10 more
wiley   +1 more source

Robustness Assessment of Public Transport Networks in Various Graph Representations: Systematic Review, Decision Support, and Case Study

open access: yesNetworks, EarlyView.
ABSTRACT The analysis of certain properties of the underlying graph of a public transport network generates insights about the network's structure. Hereby, the choice of the graph representation depends on a trade‐off between complexity reduction and information preservation to adequately model a public transport network.
Michael Palk   +2 more
wiley   +1 more source

Maximizing the smallest eigenvalue of grounded Laplacian matrix

open access: yesJournal of Global Optimization
For a connected graph $\mathcal{G}=(V,E)$ with $n$ nodes, $m$ edges, and Laplacian matrix $\boldsymbol{\mathit{L}}$, a grounded Laplacian matrix $\boldsymbol{\mathit{L}}(S)$ of $\mathcal{G}$ is a $(n-k) \times (n-k)$ principal submatrix of $\boldsymbol{\mathit{L}}$, obtained from $\boldsymbol{\mathit{L}}$ by deleting $k$ rows and columns corresponding ...
Xiaotian Zhou   +3 more
openaire   +3 more sources

When species are lost but functions persist: a trait‐based perspective on Wadden Sea bird diversity dynamics

open access: yesOikos, EarlyView.
Biodiversity faces several global threats and communities are likely to show complex delayed responses. Accurately measuring these lags is critical to properly understand diversity dynamics. Here, we investigated these delays with minimal data availability and found critical mismatches between the temporal dynamics of taxonomic and functional diversity
Lucie Kuczynski   +6 more
wiley   +1 more source

Normalized Laplacian spectrum of some subdivision-joins and R-joins of two regular graphs

open access: yesAKCE International Journal of Graphs and Combinatorics, 2018
In this paper we determine the full normalized Laplacian spectrum of the subdivision-vertex join, subdivision-edge join, R-vertex join, and R-edge join of two regular graphs in terms of the normalized Laplacian eigenvalues of the graphs.
Arpita Das, Pratima Panigrahi
doaj   +1 more source

Event‐Triggered Saturating Control for Synchronization of Lur'e Type Complex Dynamic Networks

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This article addresses the problem of synchronizing discrete‐time Lur'e type complex dynamic networks (CDNs) via dynamic event‐triggered control. In particular, it is considered that the control signal of each node is subject to input saturation. Using the Lyapunov Stability Theory, properties of slope‐restricted nonlinearities, and the linear
C. Lisbôa   +3 more
wiley   +1 more source

On the Signless Laplacian ABC-Spectral Properties of a Graph

open access: yesMathematics
In the paper, we introduce the signless Laplacian ABC-matrix Q̃(G)=D¯(G)+Ã(G), where D¯(G) is the diagonal matrix of ABC-degrees and Ã(G) is the ABC-matrix of G. The eigenvalues of the matrix Q̃(G) are the signless Laplacian ABC-eigenvalues of G.
Bilal A. Rather   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy