Results 51 to 60 of about 1,559 (184)

Numerical investigation on the influence of mesoscopic deformation on contact area and hydraulic aperture to fracture seepage

Deep Underground Science and Engineering, EarlyView.
Fluid flow through a single fracture is commonly described by the cubic law. However, deviations from this model are expected because natural fracture surfaces are rough and in contact with each other in discrete regions. In this study, the interactions between fracture closure, contact area, and hydraulic characterization of mesoscopic‐scale rough ...
Chenghao Han, Yuanlin Bai, Weijie Zhang, Jicheng Zhang, Hongfa Ma, Weiye Li   +5 more
wiley   +1 more source

Dual-Scale Doppler Attention for Human Identification

Sensors, 2022
This paper considers a Deep Convolutional Neural Network (DCNN) with an attention mechanism referred to as Dual-Scale Doppler Attention (DSDA) for human identification given a micro-Doppler (MD) signature induced as input.
Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Chang D. Yoo   +4 more
doaj   +1 more source

Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures

IEEE Transactions on Geoscience and Remote Sensing, 2022
Human activity recognition (HAR) plays a vital role in many applications, such as surveillance, in-home monitoring, and health care. Portable radar sensor has been increasingly used in HAR systems in combination with deep learning (DL). However, it is both difficult and time-consuming to obtain a large-scale radar dataset with reliable labels ...
Xinyu Li 0007, Yuan He 0009, Francesco Fioranelli, Xiaojun Jing   +3 more
openaire   +4 more sources

Research progress on the use of the optical coherence tomography system for the diagnosis and treatment of central nervous system tumors

Ibrain, Volume 11, Issue 1, Page 3-18, Spring 2025.
With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li, Ziba Ayi, Gonggong Lu, Haibo Rao, Feilong Yang, Jing Li, Jiachen Sun, Junlin Lu, Xulin Hu, Si Zhang, Xuhui Hui   +10 more
wiley   +1 more source

Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning

Sensors, 2022
Pedestrian occurrences in images and videos must be accurately recognized in a number of applications that may improve the quality of human life. Radar can be used to identify pedestrians.
Danny Buchman, Michail Drozdov, Tomas Krilavičius, Rytis Maskeliūnas, Robertas Damaševičius   +4 more
doaj   +1 more source

Human Motion Recognition With Limited Radar Micro-Doppler Signatures

IEEE Transactions on Geoscience and Remote Sensing, 2021
The performance of deep learning (DL) algorithms for radar-based human motion recognition (HMR) is hindered by the diversity and volume of the available training data. In this article, to tackle the issue of insufficient training data for HMR, we propose an instance-based transfer learning (ITL) method with limited radar micro-Doppler (MD) signatures ...
Xinyu Li 0007, Yuan He 0009, Francesco Fioranelli, Xiaojun Jing, Alexander Yarovoy, Yang Yang 0045   +5 more
openaire   +4 more sources

Renal screening sonography—A comparative study in a Portuguese basic emergency service

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 8-16, March 2025.
Renal sonography screening aids in clinical decision‐making for patients with suspected renal colic. This study intends to compare the accuracy and pertinence of sonographic findings obtained by a sonographer in a Basic Emergency Service (BES) with that of radiologists at Referral Hospital (RH) in Portugal. Renal sonography screening was able to detect
Sérgio Miravent, Carmen Jiménez, Narciso Barbancho, Manuel Duarte Lobo, Teresa Figueiredo, Carla Gomes, Ion Ratusneac, João Mário Gonçalves, Corina Hasnas, Rui de Almeida   +9 more
wiley   +1 more source

Efficient Protocol to Use FMCW Radar and CNN to Distinguish Micro-Doppler Signatures of Multiple Drones and Birds

IEEE Access, 2022
Classification of multiple drones and birds by comparing micro-Doppler (MD) signatures is a very difficult task because the MD signatures of multiple birds can contaminate the MD signature of drones, and because a single drone can yield a very similar MD
Sewon Yoon, Soobum Kim, Jooho Jung, Sangbin Cha, Youngseok Baek, Bontae Koo, Inoh Choi, Sanghong Park   +7 more
doaj   +1 more source

Multiparametric Ultrasound Findings of Testicular Sarcoidosis

Journal of Ultrasound in Medicine, EarlyView.
Objectives To characterize the multiparametric ultrasound (MPUS) features of testicular sarcoidosis, incorporating greyscale, color Doppler ultrasound (CDUS), contrast‐enhanced ultrasound (CEUS), and strain elastography (SE), and to assess their collective diagnostic value.
Huahui Liu, Razan Abudalo, Ghali Salahia, Gibran T. Yusuf, Dean Y. Huang, Paul S. Sidhu   +5 more
wiley   +1 more source

Classification of Personnel Targets with Baggage Using Dual-band Radar

Remote Sensing, 2017
In this paper, we aim to identify passengers with different baggage by analyzing the micro-Doppler radar signatures corresponding to different kinds of gaits, which is helpful to improve the efficiency of security check in airports. After performing time-
Le Yang, Gao Chen, Gang Li
doaj   +1 more source