Results 111 to 120 of about 512,229 (281)
Identifiable regional and neural network abnormalities in early childhood anxiety
JCPP Advances, EarlyView.Abstract Background Although the neural underpinnings of anxiety have been investigated, most research has been confined to adolescence and adulthood, with less of a focus on the early childhood period. Little is known about the role of anticipatory fear processing early childhood, which is a sensitive period for anxiety development.
Khalil I. Thompson +7 more
wiley +1 more source
Removing camera shake from a single photograph
, 2006 The task of blind deblurring usually consists of estimation of interim images and blur kernels. Due to the lack of information in kernels compared to that in interim images, when only a blurred image is available, most of deblurring methods emphasis the ...
William T. Freeman +5 more
core +1 more source
Automated FRET Analysis for Enhanced Characterization of Protein–Protein Interactions
Microscopy Research and Technique, EarlyView.A visual summary of the SONLab FRET Tool, displaying the entire workflow—from imaging to the plotting of quantified data. The results provided in this article were obtained using this automated pipeline. ABSTRACT Förster Resonance Energy Transfer (FRET) analysis is a powerful technique for studying protein–protein interactions; however, manual methods ...
Ahmet Zübeyir Nursoy +2 more
wiley +1 more source
Nonlinear Knowledge in Kernel Approximation [PDF]
, 2006 Prior knowledge over arbitrary general sets is incorporated into nonlinear kernel approximation problems in the form of linear constraints in a linear program.
Mangasarian, Olvi, Wild, Edward
core
Journal of Magnetic Resonance Imaging, EarlyView.ABSTRACT Background Epicardial adipose tissue volume (EATV) is increasingly recognized as a cardiometabolic risk marker associated with adverse outcomes. The most established approach for EATV quantification is cardiac computed tomography (CT). MRI offers a radiation‐free alternative allowing simultaneous assessment of myocardial function and tissue ...
Judith Gronwald +10 more
wiley +1 more source
International Journal of Computational Intelligence SystemsConvolution-based neural networks have been extensively employed in motion deblurring. However, two issues prevent them from realizing their full potential: (1) limited receptive fields owing to the kernel size; (2) failure to adequately characterize the
Weizhi Yang +4 more
doaj +1 more source
Handling Gaussian blur without deconvolution
, 2020 The paper presents a new theory of invariants to Gaussian blur. Unlike earlier methods, the blur kernel may be arbitrary oriented, scaled and elongated.
Kostková, J. (Jitka) +3 more
core
Kernel-based clustering via Isolation Distributional Kernel
, 2023 Clustering has become one of the widely used automatic data-labeling techniques applied in a variety of disciplines. Kernel-based clustering is a technique designed to identify non-linearly separable clusters with irregular shapes.
Ye Zhu (13101348), KM Ting (13907250)
core
Employees' Mitigation of Ambiguous Green Human Resource Management Signals
Strategic Change, EarlyView.ABSTRACT Human resource management (HRM) is increasingly directed at leveraging businesses' environmental strategies. Current research shows how integrating environmental objectives into HRM practices can positively affect an organization's green performance.
Josefine Weigt‐Rohrbeck +1 more
wiley +1 more source
A Progressive Decoupled Network for Blind Image Super-Resolution
IEEE AccessBlind super-resolution (Blind SR) has become a popular research topic in computer vision in super-resolution, which aims to enhance low-resolution (LR) images with unknown or partially known degradation blur kernels.
Laigan Luo, Benshun Yi, Chao Zhu
doaj +1 more source