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 fusion method based on 1D vibration signals and 2D images..:
, In:
2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE)
,
Yang, Tiantian
;
Xu, Tianhua
;
Cheng, Yu
... - p. 282-286 , 2023
Link:
https://doi.org/10.1109/NNICE58320.2023.10105728
RT T1 <cTitle>2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE)</cTitle>: T1 <Title>A fusion method based on 1D vibration signals and 2D images for detection of railway surface defects</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10105728&Exemplar=1&LAN=DE A1 Yang, Tiantian A1 Xu, Tianhua A1 Cheng, Yu A1 Tang, Zelong A1 Su, Shuai A1 Cao, Yuan YR 2023 K1 Rails K1 Vibrations K1 Dimensionality reduction K1 Two dimensional displays K1 Transportation K1 Maintenance engineering K1 Feature extraction K1 Rail surface defects K1 Multi-sensor fusion K1 Improved Sparse Auto Encoder K1 Deep learning SP 282 OP 286 LK http://dx.doi.org/https://doi.org/10.1109/NNICE58320.2023.10105728 DO https://doi.org/10.1109/NNICE58320.2023.10105728 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
