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 Classification for Light Motor Vehicles using ..:
, In:
2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
,
Pemila, M.
;
Pongiannan, R.K.
;
Pandey, Venkatesh
.. - p. 01-07 , 2023
Link:
https://doi.org/10.1109/ICECCT56650.2023.10179717
RT T1 <cTitle>2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)</cTitle>: T1 <Title>An Efficient Classification for Light Motor Vehicles using CatBoost Algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10179717&Exemplar=1&LAN=DE A1 Pemila, M. A1 Pongiannan, R.K. A1 Pandey, Venkatesh A1 Mondal, Prasun A1 Bhaumik, Saumyarup YR 2023 K1 Support vector machines K1 Image segmentation K1 Machine learning algorithms K1 Image resolution K1 Shape K1 Surveillance K1 Image edge detection K1 Light motor vehicle classification K1 CatBoost Algorithm K1 Machine learning SP 01 OP 07 LK http://dx.doi.org/https://doi.org/10.1109/ICECCT56650.2023.10179717 DO https://doi.org/10.1109/ICECCT56650.2023.10179717 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
