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
PACOSYT: A Passive Component Synthesis Tool Based on Machin..:
Passos, Fábio
;
Lourenço, Nuno
;
Roca, Elisenda
...
IEEE Journal of Microwaves. 3 (2023) 2 - p. 599-613 , 2023
Link:
https://doi.org/10.1109/jmw.2023.3237260
RT Journal T1
PACOSYT: A Passive Component Synthesis Tool Based on Machine Learning and Tailored Modeling Strategies Towards Optimal RF and mm-Wave Circuit Designs
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_jmw.2023.3237260&Exemplar=1&LAN=DE A1 Passos, Fábio A1 Lourenço, Nuno A1 Roca, Elisenda A1 Martins, Ricardo A1 Castro-López, Rafael A1 Horta, Nuno A1 Fernández, Francisco V. PB Institute of Electrical and Electronics Engineers (IEEE) YR 2023 SN 2692-8388 JF IEEE Journal of Microwaves VO 3 IS 2 SP 599 OP 613 LK http://dx.doi.org/https://doi.org/10.1109/jmw.2023.3237260 DO https://doi.org/10.1109/jmw.2023.3237260 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)