Results 51 to 60 of about 5,844 (217)
Unmanned Aerial Vehicles, or drones, pose a significant threat to privacy and security. To understand and assess this threat, classification between different drone models and types is required.
Matthew Moore +2 more
doaj +1 more source
Extraction of Micro-Doppler Frequency From HRRPs of Rotating Targets
Micro-motion dynamics, such as rapid rotation, vibration and spinning motion, impose additional time-varying frequency modulation on the returned radar signals, which is known as the micro-Doppler (m-D) effect.
Xiao-Yi Pan +6 more
doaj +1 more source
Millimeter-wave (MMW) radar hand gesture recognition technology is becoming important in many electronic device control applications. Currently, most existing approaches utilize the radical and micro-Doppler features from single-channel MMW radar, which ...
Chuan Du +4 more
doaj +1 more source
Radar is an attractive sensor for classifying human activity because of its invariance to the environment and its ability to operate under low lighting conditions and through obstacles.
Rodrigo Hernangómez +2 more
doaj +1 more source
ABSTRACT Index of microcirculatory resistance (IMR) is a cutting‐edge, wire‐based tool that advances the capability assessment of coronary microvascular function. By utilizing distal coronary pressure and mean transit time under maximal hyperemia, IMR delivers consistent, reproducible insights into the microvasculature's dynamic health.
Joanna Sohn +10 more
wiley +1 more source
Channel Attention based CNN for Improving UAV Classification using Micro Doppler Spectogram Images.
The increase in technological advancements in unmanned ariel vehicle has lead to the challenges in the detection of drones in flight. The micro Doppler signatures obtained from radars is used to distinguish and detect different types of drones.
Mainak Bandyopadhyay +2 more
doaj +1 more source
Three‐dimensional Doppler‐associated radar imaging method based on bi‐directional data processing
Using a microwave or millimetre wave radar system, this study aims to achieve highly accurate Doppler velocity estimation and radar imaging that would be suitable for various remote‐sensing sensors, such as self‐driving, surveillance, or security ...
Takumi Hayashi +2 more
doaj +1 more source
Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers
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 +7 more
wiley +1 more source
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 +5 more
wiley +1 more source
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 +10 more
wiley +1 more source

