print

Shape classification using hydrodynamic detection via a sparse large-scale 2D-sensitive artificial lateral line

author
Wolf, Ben J.
Pirih, Primoz
Kruusmaa, Maarja
Van Netten, Sietse M.
statement of authorship
Ben J. Wolf, Primoz Pirih, Maarja Kruusmaa, Sietse M. Van Netten
source
IEEE Access
publisher
IEEE
journal volume number month
Vol. 8
year of publication
2020
pages
p. 11393 - 11404
url
https://doi.org/10.1109/ACCESS.2020.2965316
subject term
sensorid
robootika
hüdrodünaamika
pöördülesanded
tehisnärvivõrgud
keyword
artificial lateral line
feature selection
Hydrodynamic imaging
inverse problem
neural network
sensor array
ISSN
2169-3536
notes
Bibliogr.: 48 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
Computer science
Materials science
category (sub)
Engineering. General engineering
Computer science. General computer science
Materials science. General materials science
kvartiil
Q1
TTÜ department
arvutisüsteemide instituut
language
inglise
Uurimisrühm
Centre for biorobotics
Wolf, B.J., Pirih, P., Kruusmaa, M., Van Netten, S.M. Shape classification using hydrodynamic detection via a sparse large-scale 2D-sensitive artificial lateral line // IEEE Access (2020) Vol. 8, p. 11393 - 11404. https://doi.org/10.1109/ACCESS.2020.2965316