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
Hybrid Deep Learning with Attention Mechanism based Health ..:
, In:
2024 International Conference on Control, Automation and Diagnosis (ICCAD)
,
Mchara, Walid
;
Khalfa, Mohamed Abdellatif
;
Manai, Lazhar
- p. 1-6 , 2024
Link:
https://doi.org/10.1109/ICCAD60883.2024.10553858
RT T1 <cTitle>2024 International Conference on Control, Automation and Diagnosis (ICCAD)</cTitle>: T1 <Title>Hybrid Deep Learning with Attention Mechanism based Health State Intelligent Diagnosis of Lithium-Ion Batteries</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10553858&Exemplar=1&LAN=DE A1 Mchara, Walid A1 Khalfa, Mohamed Abdellatif A1 Manai, Lazhar YR 2024 SN 2767-9896 K1 Lithium-ion batteries K1 Deep learning K1 Accuracy K1 Time series analysis K1 Transportation K1 Predictive models K1 Prediction algorithms K1 Convolutional Neural Network K1 attention mechanism K1 Deep Neural Network K1 State of Health K1 lithium-ion batteries SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICCAD60883.2024.10553858 DO https://doi.org/10.1109/ICCAD60883.2024.10553858 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
