Whole transcriptome sequencing identifies a competitive endogenous RNA network that regulates the immunity of bladder cancer. [PDF]
Liu S +6 more
europepmc +1 more source
Research on multiple paths of transportation system resilience building in digital contexts. [PDF]
Li M, Gong D, Song Y.
europepmc +1 more source
A Meta-Analysis of Multidimensional Cognitive Functions Changes in Different Intensities of High-Altitude Hypoxia. [PDF]
Jiang Y +5 more
europepmc +1 more source
Effects on Mass Transfer in the Bone Lacunar-Canalicular System under Different Radial Extracorporeal Shock Waves. [PDF]
Song X, Hao P, Gao L, Li X, Zhang C.
europepmc +1 more source
Review of Multi-Scale Bridge Monitoring: An Information-Centric Framework Integrating Ground-Penetrating Radar, Distributed Optical-Fibre Sensing, and Satellite Remote Sensing for Bridge Digital Twins. [PDF]
Zou L +4 more
europepmc +1 more source
Contactless Monitoring System Versus Gold Standard for Respiratory Rate Monitoring in Emergency Department Patients: Pilot Comparison Study. [PDF]
Goldfine CE +5 more
europepmc +1 more source
Millimeter accuracy depth estimation in concrete using smartphone-equipped handheld GPR and hyperbolic curve fitting with antenna distance consideration. [PDF]
Iwai S, Mizutani T.
europepmc +1 more source
Super-Resolution of Radargrams With a Generative Deep Learning Model
Radar sounder (RS) profiles are essential for imaging the subsurface of planetary bodies and the Earth as they provide valuable geological insights. However, the limited availability of high-resolution radargrams poses challenges. This article proposes a novel method based on generative models to super-resolve radargrams. Our approach addresses the ill-
Lorenzo Bruzzone +2 more
exaly +5 more sources
TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 July 2023, Pasadena, CA ...
Mathieu Morlighem +2 more
exaly +3 more sources
Automated data extraction from synthetic and real radargrams of district heating pipelines
The main goal of this paper is to investigate the performance of an algorithm for point extraction from hyperbolic reflections in synthetic and experimental Ground-Penetrating Radar (GPR) data. The real radargrams that we considered contain hyperbolic reflections due to the presence, in the surveyed area, of district heating pipelines DN250.
Govedarica, Aleksandar +7 more
core +8 more sources

