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
Evaluating the deep learning software tools for large-scale..:
Gligorić, Zoran
;
Görçün, Ömer Faruk
;
Gligorić, Miloš
...
Journal of King Saud University - Computer and Information Sciences. 36 (2024) 5 - p. 102079 , 2024
Link:
https://doi.org/10.1016/j.jksuci.2024.102079
RT Journal T1 <Title>Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jksuci.2024.102079&Exemplar=1&LAN=DE A1 Gligorić, Zoran A1 Görçün, Ömer Faruk A1 Gligorić, Miloš A1 Pamucar, Dragan A1 Simic, Vladimir A1 Küçükönder, Hande PB Elsevier BV YR 2024 SN 1319-1578 JF Journal of King Saud University - Computer and Information Sciences VO 36 IS 5 SP 102079 LK http://dx.doi.org/https://doi.org/10.1016/j.jksuci.2024.102079 DO https://doi.org/10.1016/j.jksuci.2024.102079 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
