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
Garbage Classification with Deep Learning Techniques:
, In:
2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)
,
Sharma, Aakash
;
Keshri, Aarambh
;
Kumar, Aayush
. - p. 406-411 , 2023
Link:
https://doi.org/10.1109/CISES58720.2023.10183566
RT T1
2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)
: T1
Garbage Classification with Deep Learning Techniques
UL https://suche.suub.uni-bremen.de/peid=ieee-10183566&Exemplar=1&LAN=DE A1 Sharma, Aakash A1 Keshri, Aarambh A1 Kumar, Aayush A1 Yadav, R. K. YR 2023 K1 Deep learning K1 Waste management K1 Pollution K1 Sociology K1 Support vector machine classification K1 Recycling K1 Object recognition K1 Object Detection K1 Classification K1 Garbage Classification K1 Deep Learning K1 Convolution Neural Networks K1 Support Vector Machines K1 DenseNet K1 ResNet50 K1 MobileNetV2 SP 406 OP 411 LK http://dx.doi.org/https://doi.org/10.1109/CISES58720.2023.10183566 DO https://doi.org/10.1109/CISES58720.2023.10183566 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)