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
An Efficient Helmet Detection for MVD using Deep learning:
, In:
2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)
,
Rohith, C A
;
Nair, Shilpa A
;
Nair, Parvathi Sanil
.. - p. 282-286 , 2019
Link:
https://doi.org/10.1109/ICOEI.2019.8862543
RT T1
2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)
: T1
An Efficient Helmet Detection for MVD using Deep learning
UL https://suche.suub.uni-bremen.de/peid=ieee-8862543&Exemplar=1&LAN=DE A1 Rohith, C A A1 Nair, Shilpa A A1 Nair, Parvathi Sanil A1 Alphonsa, Sneha A1 John, Nithin Prince YR 2019 K1 Safety K1 Head K1 Motorcycles K1 Real-time systems K1 Object detection K1 Streaming media K1 Deep learning K1 Image classification K1 deep learning K1 helmet detection K1 Motor Vehicle Department K1 Caffe model K1 InceptionV3 SP 282 OP 286 LK http://dx.doi.org/https://doi.org/10.1109/ICOEI.2019.8862543 DO https://doi.org/10.1109/ICOEI.2019.8862543 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)