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
Hybridized Deep Learning Model for Perfobond Rib Shear Stre..:
Jamal Abdulrazzaq Khalaf
;
Abeer A. Majeed
;
Mohammed Suleman Aldlemy
...
http://dx.doi.org/10.1155/2021/6611885. , 2021
Link:
https://doi.org/10.1155/2021/6611885
RT Journal T1
Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:9275f2625df04f4db9866f2c4798dafa&Exemplar=1&LAN=DE A1 Jamal Abdulrazzaq Khalaf A1 Abeer A. Majeed A1 Mohammed Suleman Aldlemy A1 Zainab Hasan Ali A1 Ahmed W. Al Zand A1 S. Adarsh A1 Aissa Bouaissi A1 Mohammed Majeed Hameed A1 Zaher Mundher Yaseen PB Hindawi-Wiley YR 2021 K1 Electronic computers. Computer science K1 QA75.5-76.95 JF http://dx.doi.org/10.1155/2021/6611885 LK http://dx.doi.org/https://doi.org/10.1155/2021/6611885 DO https://doi.org/10.1155/2021/6611885 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)