I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
2D Numerical Dataset for Microwave SVM-Based Brain Stroke C..:
, In:
2023 Photonics & Electromagnetics Research Symposium (PIERS)
,
Pokorny, Tomas
;
Fiser, Ondrej
;
Drizdal, Tomas
. - p. 1705-1711 , 2023
Link:
https://doi.org/10.1109/PIERS59004.2023.10221426
RT T1
2023 Photonics & Electromagnetics Research Symposium (PIERS)
: T1
2D Numerical Dataset for Microwave SVM-Based Brain Stroke Classification
UL https://suche.suub.uni-bremen.de/peid=ieee-10221426&Exemplar=1&LAN=DE A1 Pokorny, Tomas A1 Fiser, Ondrej A1 Drizdal, Tomas A1 Vrba, Jan YR 2023 SN 2831-5804 K1 Training K1 Microwave antennas K1 Machine learning algorithms K1 Numerical simulation K1 Filling K1 Numerical models K1 Electromagnetics SP 1705 OP 1711 LK http://dx.doi.org/https://doi.org/10.1109/PIERS59004.2023.10221426 DO https://doi.org/10.1109/PIERS59004.2023.10221426 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)