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
Application of deep learning in nondestructive evaluation o..:
, In:
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)
,
Wang, He
;
Bai, Xue
;
Ma, Jian
.. - p. 581-585 , 2022
Link:
https://doi.org/10.1109/ICCEAI55464.2022.00124
RT T1
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)
: T1
Application of deep learning in nondestructive evaluation of metal microstructural grain size
UL https://suche.suub.uni-bremen.de/peid=ieee-9853455&Exemplar=1&LAN=DE A1 Wang, He A1 Bai, Xue A1 Ma, Jian A1 Wu, Hongqin A1 Zhang, Zhenzhen YR 2022 K1 Grain size K1 Time-frequency analysis K1 Visualization K1 Convolution K1 Metals K1 Laser modes K1 Wavelet analysis K1 Deep learning K1 Laser ultrasonics K1 Convolutional neural network SP 581 OP 585 LK http://dx.doi.org/https://doi.org/10.1109/ICCEAI55464.2022.00124 DO https://doi.org/10.1109/ICCEAI55464.2022.00124 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)