Results 61 to 70 of about 5,844 (217)
Comparison of Radar Signatures from a Hybrid VTOL Fixed-Wing Drone and Quad-Rotor Drone
Drones, 2022 Current studies rarely mention radar detection of hybrid vertical take-off and landing (VTOL) fixed-wing drones. We investigated radar signals of an industry-tier VTOL fixed-wing drone, TX25A, compared with the radar detection results of a quad-rotor ...
Jiangkun Gong +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 +3 more
openaire +4 more sources
International Journal of Gynecology &Obstetrics, EarlyView.Abstract The labor care guide (LCG) is a new tool for monitoring labor, introduced to replace the partograph, which had been used improperly and inconsistently across various contexts. Early research suggests that healthcare practitioners view the LCG as a tool that enhances the quality of care during labor and delivery.
Amalia N. N. Ilonga +1 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 +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 +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 +9 more
wiley +1 more source
Exploration of Micro-Doppler Signatures Associated with Humans and Dogs using UWB Radar [PDF]
, 2015 The work in this thesis has been a part of the task of using a radar to separate between humans and animals in a alarm and surveillance context. For the radar to be able to separate between humans and animals it would use a classifier that rely on ...
Fossum, Thor Øyvind
core +2 more sources
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 +4 more
doaj +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo +3 more
wiley +1 more source
Small, EarlyView.This review surveys large‐area monocrystalline gold flakes, covering synthesis, growth mechanisms, and structural properties. It highlights their role as atomically flat, highly conductive platforms for precise nanostructuring, enabling applications such as plasmonics, sensing, and nanoelectronics.
Amro O. Sweedan +3 more
wiley +1 more source