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
Real-Time CCTV Based Garbage Detection for Modern Societies..:
Raza, Syed Muhammad
;
Hassan, Syed Ghazi
;
Hassan, Syed Ali
.
Journal of information and communication convergence engineering. 22 (2024) 2 - p. 109-120 , 2024
Link:
https://doi.org/10.56977/jicce.2024.22.2.109
RT Journal T1
Real-Time CCTV Based Garbage Detection for Modern Societies using Deep Convolutional Neural Network with Person-Identification
UL https://suche.suub.uni-bremen.de/peid=cr-10.56977_jicce.2024.22.2.109&Exemplar=1&LAN=DE A1 Raza, Syed Muhammad A1 Hassan, Syed Ghazi A1 Hassan, Syed Ali A1 Shin, Soo Young PB Korea Institute of Information and Communication Engineering YR 2024 SN 2234-8883 JF Journal of information and communication convergence engineering VO 22 IS 2 SP 109 OP 120 LK http://dx.doi.org/https://doi.org/10.56977/jicce.2024.22.2.109 DO https://doi.org/10.56977/jicce.2024.22.2.109 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)