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
Correction to: Arabic Sign Language Recognition Using Convo..:
Aldhahri, Eman
;
Aljuhani, Reem
;
Alfaidi, Aseel
...
Arabian Journal for Science and Engineering. 48 (2022) 2 - p. 2615-2615 , 2022
Link:
https://doi.org/10.1007/s13369-022-07258-7
RT Journal T1 <Title>Correction to: Arabic Sign Language Recognition Using Convolutional Neural Network and MobileNet</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s13369-022-07258-7&Exemplar=1&LAN=DE A1 Aldhahri, Eman A1 Aljuhani, Reem A1 Alfaidi, Aseel A1 Alshehri, Bushra A1 Alwadei, Hajer A1 Aljojo, Nahla A1 Alshutayri, Areej A1 Almazroi, Abdulwahab PB Springer Science and Business Media LLC YR 2022 SN 2193-567X SN 2191-4281 JF Arabian Journal for Science and Engineering VO 48 IS 2 SP 2615 OP 2615 LK http://dx.doi.org/https://doi.org/10.1007/s13369-022-07258-7 DO https://doi.org/10.1007/s13369-022-07258-7 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
