Results 61 to 70 of about 1,902,052 (207)

Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers

The Canadian Journal of Chemical Engineering, EarlyView.
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger, Sálvio Lima de Carvalho Neto, Silvio Edegar Weschenfelder, Glaucia Rodrigues Vieira de Almeida da Fonseca, Maria de Fátima Rodrigues da Cunha, Selene Maria Arruda Guelli Ulson de Souza, Evandro Balestrin, Adriano da Silva   +7 more
wiley   +1 more source

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  

Template free Micro Doppler Signature Classification for Wheeled and Tracked Vehicles [PDF]

, 2019
The micro-Doppler signature is a time-varying frequency modulation imparted on radar echo caused by target’s micro-motion. To save the trouble of constructing template in the target classification, this paper investigates the micro-Doppler signature of ...
Zhang, Yongsheng, Zhen, Dong, He, Feng, Guanghu, Jin   +3 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

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

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