Comparison of G8 and ISAR Screening Results in Geriatric Urology [PDF]
Background: The G8 and ISAR scores are two different screening tools for geriatric risk factors and frailty. The aim of this study was to compare the G8 and ISAR screening results in a cohort of urogeriatric patients to help clinicians to better ...
Jobar Bouzan +3 more
doaj +2 more sources
Migration through Resolution Cell Correction and Sparse Aperture ISAR Imaging for Maneuvering Target Based on Whale Optimization Algorithm—Fast Iterative Shrinkage Thresholding Algorithm [PDF]
Targets faced by inverse synthetic aperture radar (ISAR) are often non-cooperative, with target maneuvering being the main manifestation of this non-cooperation.
Xinrong Guo, Fengkai Liu, Darong Huang
doaj +2 more sources
SR-DNnet: A Deep Network for Super-Resolution and De-Noising of ISAR Images
Inverse synthetic aperture radar (ISAR) images have become one of the most important pieces of information for airborne and maritime target identification.
Fengkai Liu +3 more
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Interleukin‐18 signaling promotes activation of hepatic stellate cells in mouse liver fibrosis
Interleukin‐18 signaling promotes activation of hepatic stellate cells in mouse liver fibrosis. Abstract Background and Aims Nucleotide‐binding oligomerization domain‐like receptor‐family pyrin domain‐containing 3 (NLRP3) inflammasome activation has been shown to result in liver fibrosis.
Jana Knorr +19 more
wiley +1 more source
A Metalearning-based Sparse Aperture ISAR Imaging Method
Sparse Aperture-Inverse Synthetic Aperture Radar (SA-ISAR) imaging methods aim to reconstruct high-quality ISAR images from the corresponding incomplete ISAR echoes.
Jingyuan XIA +5 more
doaj +1 more source
An ISAR Image Component Recognition Method Based on Semantic Segmentation and Mask Matching
The inverse synthetic aperture radar (ISAR) image is a kind of target feature data acquired by radar for moving targets, which can reflect the shape, structure, and motion information of the target, and has attracted a great deal of attention from the ...
Xinli Zhu +4 more
doaj +1 more source
CLISAR-Net: A Deformation-Robust ISAR Image Classification Network Using Contrastive Learning
The inherent unknown deformations of inverse synthetic aperture radar (ISAR) images, such as translation, scaling, and rotation, pose great challenges to space target classification. To achieve high-precision classification for ISAR images, a deformation-
Peishuang Ni +5 more
doaj +1 more source
Identification of hospitalized elderly patients at risk for adverse in-hospital outcomes in a university orthopedics and trauma surgery environment. [PDF]
As a consequence of demographic changes, hospitals are confronted with increasing numbers of elderly patients, who are at high risk of adverse events during hospitalization.
Janine Gronewold +3 more
doaj +1 more source
Multiview ISAR Imaging for Complex Targets Based on Improved SBR Scattering Model
A novel multiview inverse synthetic aperture radar (ISAR) imaging method is proposed to simulate high-resolution and identifiable ISAR image of complex targets by handling large-angle and wide-bandwidth scattering data.
Tiantian Feng, Lixin Guo
doaj +1 more source

