Using neural networks to model self-immune disease in terms of the alterations of the dynamic electrical impedance
author
Giannoukos, Georgios
Min, Mart
statement of authorship
Georgios Giannoukos and Mart Min
source
Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014) : Rhodes, Greece, 22-28 September 2014
location of publication
Melville
publisher
AIP
year of publication
2015
pages
p. 850001-1 - 850001-4
series
AIP conference proceedings ; 1648
conference name, date
International Conference on Numerical Analysis and Applied Mathematics 2014, 22-28 September 2014
conference location
Rhodes, Greece
url
https://doi.org/10.1063/1.4913056
subject term
neuronvõrgud
immuunsüsteem
bioimpedants
elektriline impedants
diagnostika (meditsiin)
Scopus
https://www.scopus.com/sourceid/26916
https://www.scopus.com/record/display.uri?eid=2-s2.0-84939649537&origin=inward&txGid=ef15b6db2d1a1da39b4c2a29645dd1db
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:000355339705053
quartile
Q4
category (general)
Physics and astronomy
Füüsika ja astronoomia
category (sub)
Physics and astronomy. General physics and astronomy
Füüsika ja astronoomia. Üldfüüsika ja astronoomia
keyword
bioimpedance
immune system
thymus
bone marrow
non-linear circuit
T-cell
B-cell
computer algebra
neural network
ISSN
0094-243X
ISBN
978-0-7354-1287-3
notes
Bibliogr.: 8 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Thomas Johann Seebecki elektroonikainstituut
language
inglise