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
Conure: Surrogate-based Artwork Generator for RFCMOS Integr..:
, In:
2024 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Rahman, Habibur
;
Recha, Adrian Llop
;
Fasciani, Stefano
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ISCAS58744.2024.10558598
RT T1 <cTitle>2024 IEEE International Symposium on Circuits and Systems (ISCAS)</cTitle>: T1 <Title>Conure: Surrogate-based Artwork Generator for RFCMOS Integrated Inductors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10558598&Exemplar=1&LAN=DE A1 Rahman, Habibur A1 Recha, Adrian Llop A1 Fasciani, Stefano A1 Hogganvik, Pal Gunnar A1 Kjelgard, Kristian G. A1 Wisland, Dag Trygve YR 2024 SN 2158-1525 K1 Semiconductor device modeling K1 Geometry K1 Computational modeling K1 Predictive models K1 Prediction algorithms K1 Generators K1 Inductors K1 electronic design automation K1 RF K1 CMOS K1 inductor K1 surrogate model K1 machine learning K1 artificial neural network K1 optimization K1 NSGA-II SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS58744.2024.10558598 DO https://doi.org/10.1109/ISCAS58744.2024.10558598 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
