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
VEHICLE CLASSIFICATION USING THE CONVOLUTION NEURAL NETWORK..:
Janak TRIVEDI
;
Mandalapu Sarada DEVI
;
Dave DHARA
http://sjsutst.polsl.pl/archives/2021/vol112/201_SJSUTST112_2021_Trivedi_Devi_Dhara.pdf. , 2021
Link:
https://doi.org/10.20858/sjsutst.2021.112.7.16
RT Journal T1 <Title>VEHICLE CLASSIFICATION USING THE CONVOLUTION NEURAL NETWORK APPROACH</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:071a87fbca6549ca915def3c7c887604&Exemplar=1&LAN=DE A1 Janak TRIVEDI A1 Mandalapu Sarada DEVI A1 Dave DHARA PB Silesian University of Technology YR 2021 K1 convolution neural network K1 vehicle classification K1 deep learning K1 intelligent transportation system K1 Engineering (General). Civil engineering (General) K1 TA1-2040 K1 Transportation engineering K1 TA1001-1280 JF http://sjsutst.polsl.pl/archives/2021/vol112/201_SJSUTST112_2021_Trivedi_Devi_Dhara.pdf LK http://dx.doi.org/https://doi.org/10.20858/sjsutst.2021.112.7.16 DO https://doi.org/10.20858/sjsutst.2021.112.7.16 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
