Results 111 to 120 of about 522,669 (248)
Fast digital lossy compression for X-ray ptychographic data. [PDF]
J Synchrotron Radiat, 2021 Huang P +4 more
europepmc +1 more source
Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns
Arthritis Care &Research, EarlyView.Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki +6 more
wiley +1 more source
BPG-Based Lossy Compression of Three-Channel Remote Sensing Images with Visual Quality Control
Remote SensingA tendency to increase the number of acquired remote sensing images and to make their average size larger has been observed. To manage such data, compression is needed, and lossy compression is often preferable.
Fangfang Li +3 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective Elevated C‐reactive protein (CRP) levels in systemic sclerosis (SSc) have been linked with severe disease and worse survival, but the role of platelet levels remains unclear. This study examined whether elevated platelet levels, CRP levels, or both are associated with disease severity, progression, and survival in SSc.
Brian S. Lee +4 more
wiley +1 more source
A Lossy Compression Tolerant Data Hiding Method Based on JPEG and VQ
, 2009 [[abstract]]A lossy compression tolerant data hiding method is proposed in this paper. The image which hides data is named a stego-image. Most of data hiding methods will lose some hidden data when the stego-image is compressed by iossy compression ...
Ren-Junn Hwang; Timothy k. Shih;Chuan-Ho Kao
core
Arthritis Care &Research, Accepted Article.Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +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 +3 more
wiley +1 more source
Fixed-PSNR Lossy Compression for Scientific Data
, 2018 Error-controlled lossy compression has been studied for years because of extremely large volumes of data being produced by today\u27s scientific simulations.
Xin Liang +9 more
core +1 more source
Advanced Engineering Materials, EarlyView.Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source