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
A Division Method in Combustion Mode to Improve the Forecas..:
, In:
2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE)
,
Tang, Lijiao
;
Yao, Chong
;
Song, Enzhe
.. - p. 723-732 , 2023
Link:
https://doi.org/10.1109/ICEACE60673.2023.10442075
RT T1
2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE)
: T1
A Division Method in Combustion Mode to Improve the Forecast Accuracy of the Cylinder Pressure Based on the Clustering Method
UL https://suche.suub.uni-bremen.de/peid=ieee-10442075&Exemplar=1&LAN=DE A1 Tang, Lijiao A1 Yao, Chong A1 Song, Enzhe A1 Liu, Xiaoyang A1 Ke, Yun YR 2023 K1 Employee welfare K1 Shape K1 Clustering algorithms K1 Prediction algorithms K1 Combustion K1 Classification algorithms K1 Timing K1 Division of combustion modes K1 In-cylinder pressure prediction K1 pattern clustering K1 internal combustion engine K1 Neural network prediction SP 723 OP 732 LK http://dx.doi.org/https://doi.org/10.1109/ICEACE60673.2023.10442075 DO https://doi.org/10.1109/ICEACE60673.2023.10442075 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)