Results 51 to 60 of about 1,756,837 (213)

Radar target micro-doppler signature classification [PDF]

, 2008
This thesis reports on research into the field of Micro-Doppler Signature (μ-DS) based radar Automatic Target Recognition (ATR) with additional contributions to general radar ATR methodology.
Smith, G.E.
core  

94 GHz Doppler radar for experimental validation of small UAV micro-Doppler [PDF]

, 2022
Funding: The authors acknowledge the financial support of the Engineering and Physical Sciences Council and QinetiQ (PhD funding for MM).The micro-Doppler signature of a small unmanned aerial vehicle (UAV), resulting from the rotation of propeller blades,
Robertson, Duncan A., Rahman, Samiur, Moore, Matthew   +2 more
core   +1 more source

Flexible wearable electronics for cardiovascular monitoring from surface signals to deep physiological insights

FlexMat, EarlyView.
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen, Hongwen Chen, Yuanyuan Li, Pingan Yang, Rui Li, Zhihao Zhou   +5 more
wiley   +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

A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars

IEEE Access, 2021
With the recent advancements in radar systems, radar sensors offer a promising and effective perception of the surrounding. This includes target detection, classification and tracking. Compared to the state-of-the-art, where the state vector of classical
Anand Dubey, Avik Santra, Jonas Fuchs, Maximilian Lubke, Robert Weigel, Fabian Lurz   +5 more
doaj   +1 more source

Strain and Shear Wave Elastography in Thyroid Nodules: Tissue Stiffness as a Complementary Risk Marker for Differentiating Benign, Indeterminate, and Malignant Cytology

Head &Neck, EarlyView.
ABSTRACT Objective To evaluate the diagnostic performance of shear wave elastography (SWE) and strain elastography (SE) as complementary techniques to conventional B‐mode ultrasound for differentiating benign, indeterminate, and malignant thyroid nodules. Methods This prospective cross‐sectional study included 208 thyroid nodules evaluated using B‐mode
Kairo Alexandre Alves Silveira, Icleia Siqueira Barreto, Ilka Mara Borges Botelho, Elizabeth João Pavin, Ademar Yamanaka, Denise Engelbrecht Zantut‐Wittmann   +5 more
wiley   +1 more source

WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities

IEEE Access, 2020
Robust and accurate human activity recognition (HAR) systems are essential to many human-centric services within active assisted living and healthcare facilities.
Muhammad Muaaz, Ali Chelli, Ahmed Abdelmonem Abdelgawwad, Andreu Catala Mallofre, Matthias Patzold   +4 more
doaj   +1 more source

Extraction of Micro-Doppler Feature Using LMD Algorithm Combined Supplement Feature for UAVs and Birds Classification

Remote Sensing, 2022
In the past few decades, the demand for reliable and robust systems capable of monitoring unmanned aerial vehicles (UAVs) increased significantly due to the security threats from its wide applications.
Ting Dai, Shiyou Xu, Biao Tian, Jun Hu, Yue Zhang, Zengping Chen   +5 more
doaj   +1 more source

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

Convolutional Neural Network-Based Drone Detection and Classification Using Overlaid Frequency-Modulated Continuous-Wave (FMCW) Range–Doppler Images

Sensors
This paper proposes a novel drone detection method based on a convolutional neural network (CNN) utilizing range–Doppler map images from a frequency-modulated continuous-wave (FMCW) radar. The existing drone detection and identification techniques, which
Seung-Kyu Han, Joo-Hyun Lee, Young-Ho Jung   +2 more
doaj   +1 more source