Results 121 to 130 of about 1,750,707 (221)

Abstracts from the 2026 Congress of the Scandinavian Society of Anesthesiology and Intensive Care Medicine, Reykjavik, Iceland, June 10–12, 2026

Acta Anaesthesiologica Scandinavica, Volume 70, Issue 9, October 2026.
wiley   +1 more source

Radar Micro-Doppler Mini-UAV Classification using Spectrograms and Cepstrograms

, 2015
The radar micro-Doppler signature of a target is determined by parts of the target moving or rotating in addition to the main body motion. The relative motion of these parts is characteristic for different classes of targets, e.g.
Prémel-Cabic, G., Wit, J.J.M. de, Harmanny, R.I.A.   +2 more
core   +1 more source

Radar Simulation of Human Micro-Doppler Signature From Video Motion Capture Data

, 2013
The availability of data sets on which signal processing techniques may be tested is critical to the development of human detection, identification, and classification algorithms.
Karabacak, Cesur, Gürbüz, Sevgi Zübeyde, Gürbüz, Ali Cafer   +2 more
core  

Poster Session 1

Pregnancy, Volume 2, Issue S2, September 2026.
wiley   +1 more source

Poster Session 3

Pregnancy, Volume 2, Issue S2, September 2026.
wiley   +1 more source

Radar Micro-Doppler classification of Mini-UAVs

, 2015
The radar micro-Doppler signature of a target depends on its micro-motion, i.e., the motion of parts of a target relative to the motion of the target as a whole.
Prémel-Cabic, G., Wit, J.J.M., Harmanny, R.L.A.   +2 more
core  

A review of reconfigurable metasurfaces for radar applications. [PDF]

iScience
Qian B, Chu H, Guo YX, Zhao Z.
europepmc   +1 more source

A 33 GHz Conformal Phased-Array Radar with Linearly Constrained Minimum Variance Digital Beamforming, Circular- Polarization Filtering, and Neural-Network Micro-Doppler Classification for Counter-UAS Applications. [PDF]

Sensors (Basel)
Baginski M.
europepmc   +1 more source

Modular Performance Analysis of a Cascaded TDM-MIMO FMCW Radar for Short-Range Counter-UAV Sensing. [PDF]

Sensors (Basel)
AlQahtani D, Mohamed EA.
europepmc   +1 more source

Harnessing mmWave signals and machine learning for noninvasive taxonomic classification of insects. [PDF]

PNAS Nexus
Antony L, White C, Marchetti N, Donohue I, Stout JC, Narbudowicz A.   +5 more
europepmc   +1 more source