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
Development of a DCNN-Based LIB State Diagnosis System:
, In:
2023 23rd International Conference on Control, Automation and Systems (ICCAS)
,
Seo, Donghoon
;
Shin, Jongho
- p. 1634-1638 , 2023
Link:
https://doi.org/10.23919/ICCAS59377.2023.10316953
RT T1 <cTitle>2023 23rd International Conference on Control, Automation and Systems (ICCAS)</cTitle>: T1 <Title>Development of a DCNN-Based LIB State Diagnosis System</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10316953&Exemplar=1&LAN=DE A1 Seo, Donghoon A1 Shin, Jongho YR 2023 SN 2642-3901 K1 Learning systems K1 Training K1 Recurrent neural networks K1 NASA K1 Time series analysis K1 Fault location K1 Discharges (electric) K1 Lithium Ion Battery (LIB) K1 Time-series data K1 Fault diagnosis K1 Deep Convolution Neural Network (DCNN) SP 1634 OP 1638 LK http://dx.doi.org/https://doi.org/10.23919/ICCAS59377.2023.10316953 DO https://doi.org/10.23919/ICCAS59377.2023.10316953 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
