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
A Review on Deep Learning Algorithms for Real-Time Detectio..:
, In:
Algorithms for Intelligent Systems; Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications
,
Shima, Iosun Stephen
;
Gital, Abdulsalam Ya'u
;
Gamsha, Abdullahi Madaki
... - p. 363-377 , 2023
Link:
https://doi.org/10.1007/978-981-19-7041-2_28
RT T1
Algorithms for Intelligent Systems; Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications
: T1
A Review on Deep Learning Algorithms for Real-Time Detection of Multiple Vehicle-Based Classes: Challenges and Open Opportunities
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-19-7041-2_28&Exemplar=1&LAN=DE A1 Shima, Iosun Stephen A1 Gital, Abdulsalam Ya'u A1 Gamsha, Abdullahi Madaki A1 Lawal, Mustapha Abdulrahman A1 Patrick, Kwaghe Obed A1 Chukwuka, Okoro Christian PB Springer Nature Singapore YR 2023 SP 363 OP 377 LK http://dx.doi.org/https://doi.org/10.1007/978-981-19-7041-2_28 DO https://doi.org/10.1007/978-981-19-7041-2_28 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)