Results 141 to 150 of about 1,351 (190)

Whole transcriptome sequencing identifies a competitive endogenous RNA network that regulates the immunity of bladder cancer. [PDF]

Heliyon
Liu S, Wang Y, Duan L, Cui D, Deng K, Dong Z, Wei S.   +6 more
europepmc   +1 more source

Research on multiple paths of transportation system resilience building in digital contexts. [PDF]

Sci Rep
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]

Brain Behav
Jiang Y, Cai KE, Zhu LL, Fan M, Zhao YQ, Wang DM.   +5 more
europepmc   +1 more source

Effects on Mass Transfer in the Bone Lacunar-Canalicular System under Different Radial Extracorporeal Shock Waves. [PDF]

Tissue Eng Regen Med
Song X, Hao P, Gao L, Li X, Zhang C.
europepmc   +1 more source

Millimeter accuracy depth estimation in concrete using smartphone-equipped handheld GPR and hyperbolic curve fitting with antenna distance consideration. [PDF]

Heliyon
Iwai S, Mizutani T.
europepmc   +1 more source

Contactless Monitoring System Versus Gold Standard for Respiratory Rate Monitoring in Emergency Department Patients: Pilot Comparison Study. [PDF]

JMIR Form Res
Goldfine CE, Oshim MFT, Chapman BP, Ganesan D, Rahman T, Carreiro SP.   +5 more
europepmc   +1 more source

High-throughput phenotyping for climate-resilient forests: integrating multi-sensor fusion and root-shoot dynamics. [PDF]

Front Plant Sci
Lou J, Peng Y, Lyu N, Fan X, Liang H, Li Y.   +5 more
europepmc   +1 more source

A Personalized Predictor of Motor Imagery Ability Based on Multi-frequency EEG Features. [PDF]

Neurosci Bull
Li M, Zhao Q, Zhang T, Ge J, Wang J, Xu G.   +5 more
europepmc   +1 more source

A data-driven approach for risk assessment and material identification of buried objects using microwave measurements and neural networks. [PDF]

Sci Rep
Yarımay G, Bayat İH, Doğu S, Akduman İ.   +3 more
europepmc   +1 more source

Super-Resolution of Radargrams With a Generative Deep Learning Model

IEEE Transactions on Geoscience and Remote Sensing
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, Elena Donini, Francesca Bovolo   +2 more
exaly   +5 more sources