Results 101 to 110 of about 3,559,721 (288)

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

Spectral Algorithms on Manifolds through Diffusion

CoRR
The existing research on spectral algorithms, applied within a Reproducing Kernel Hilbert Space (RKHS), has primarily focused on general kernel functions, often neglecting the inherent structure of the input feature space. Our paper introduces a new perspective, asserting that input data are situated within a low-dimensional manifold embedded in a ...
Weichun Xia, Lei Shi
openaire   +3 more sources

Solid-state diffusion and NMR [PDF]

, 2005
Diffusion in solids, which requires the presence of crystal defects or disorder, has both microscopic and macroscopic aspects. Nuclear magnetic resonance techniques provide access to microscopic diffusion parameters like atomic jump rates and activation ...
Heitjans, Paul, Indris, Sylvio, Wilkening, Martin   +2 more
core   +1 more source

Microvascular Damage Is Associated With Carotid Wall Structural Changes in Systemic Sclerosis: A Capillaroscopy and Ultrasound‐Based Observational Study

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) is characterized by cardiovascular risk excess not fully explained by traditional factors. Whether the severity of microvascular damage correlates with structural subclinical atherosclerosis remains unclear. We investigated the relationship between nailfold videocapillaroscopy (NVC) abnormalities and carotid ...
Eugenio Capparelli, Luca Clerici, Francesco Lapia, Giusy C. Moltisanti, Eleonora Zaccara, Greta Pellegrino, Daniela Bompane, Francesca Capelli, Letizia Ferrami, Laura Castelnovo, Antonio Tamburello, Maria Sole Chimenti, Paola Faggioli, Antonino Mazzone   +13 more
wiley   +1 more source

An anisotropic diffusion algorithm for image deblurring

AIP Conference Proceedings
This paper deals with the problem of image deblurring. A suitable discretization scheme for a particular nonlinear time-dependent partial differential equation of parabolic type is experimented. The method is implemented by reversing the arrow of time in order to damp diffusion.
Fatone L., Funaro D.
openaire   +3 more sources

Chaotic image encryption algorithm based on single image local scrambling and dynamic feedback diffusion

Dianxin kexue, 2016
A novel chaotic image encryption algorithm based on single image local scrambling and dynamic feedback diffusion was presented.Firstly,a single image local scrambling algorithm was proposed.Secondly,a novel dynamic feedback diffusion strategy was ...
Yeqin CUI, Guochao DING
doaj   +2 more sources

A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors

International Journal of Digital Multimedia Broadcasting, 2017
Recommender system is a very efficient way to deal with the problem of information overload for online users. In recent years, network based recommendation algorithms have demonstrated much better performance than the standard collaborative filtering ...
Fuguo Zhang, Yehuan Liu, Qinqiao Xiong
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A New Algorithm Framework for the Influence Maximization Problem Using Graph Clustering

Information
Given a social network modelled by a graph, the goal of the influence maximization problem is to find k vertices that maximize the number of active vertices through a process of diffusion. For this diffusion, the linear threshold model is considered.
Agostinho Agra, Jose Maria Samuco
doaj   +1 more source