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
Surface Roughness Prediction Method of Milling Based on NCA..:
, In:
2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)
,
Wang, Jingshu
;
Chen, Tao
;
Zhou, Wu
.. - p. 1029-1032 , 2023
Link:
https://doi.org/10.1109/ICMSP58539.2023.10171106
RT T1 <cTitle>2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)</cTitle>: T1 <Title>Surface Roughness Prediction Method of Milling Based on NCA-SAE</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10171106&Exemplar=1&LAN=DE A1 Wang, Jingshu A1 Chen, Tao A1 Zhou, Wu A1 Ma, Jinghua A1 Chu, Xingrong YR 2023 K1 Adaptation models K1 Redundancy K1 Milling K1 Predictive models K1 Signal processing K1 Surface roughness K1 Rough surfaces K1 surface roughness prediction K1 feature fusion K1 neighbourhood component analysis K1 sparse autoencoders SP 1029 OP 1032 LK http://dx.doi.org/https://doi.org/10.1109/ICMSP58539.2023.10171106 DO https://doi.org/10.1109/ICMSP58539.2023.10171106 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
