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
Parametric Model for Estimating Pollutant Emissions in M1 O..:
, In:
2023 IEEE Seventh Ecuador Technical Chapters Meeting (ECTM)
,
Rivera, Nestor
;
Jimenez, Edisson
;
Cardenas, Joel
- p. 1-6 , 2023
Link:
https://doi.org/10.1109/ETCM58927.2023.10308992
RT T1
2023 IEEE Seventh Ecuador Technical Chapters Meeting (ECTM)
: T1
Parametric Model for Estimating Pollutant Emissions in M1 Otto Cycle Vehicles with OBD-II
UL https://suche.suub.uni-bremen.de/peid=ieee-10308992&Exemplar=1&LAN=DE A1 Rivera, Nestor A1 Jimenez, Edisson A1 Cardenas, Joel YR 2023 K1 Training K1 Machine learning algorithms K1 Temperature K1 Urban areas K1 Estimation K1 Data models K1 Parametric statistics K1 Parametric Model K1 Vehicle Emissions K1 Neural Networks K1 OBD SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ETCM58927.2023.10308992 DO https://doi.org/10.1109/ETCM58927.2023.10308992 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)