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
Multi-Modal EIT Image Reconstruction Using Deep Similarity ..:
, In:
2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
,
Sun, Jingyu
;
Zhu, Qidi
;
Fang, Hao
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/I2MTC60896.2024.10560635
RT T1 <cTitle>2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)</cTitle>: T1 <Title>Multi-Modal EIT Image Reconstruction Using Deep Similarity Prior</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10560635&Exemplar=1&LAN=DE A1 Sun, Jingyu A1 Zhu, Qidi A1 Fang, Hao A1 Wang, Jiazheng A1 Zhou, Wei A1 Liu, Zhe A1 Yang, Yunjie YR 2024 SN 2642-2077 K1 Process monitoring K1 Electrical impedance tomography K1 Inverse problems K1 Neural networks K1 Imaging K1 Numerical simulation K1 Instrumentation and measurement K1 Electrical Impedance Tomography K1 multi-modal image reconstruction K1 self-supervised learning K1 neural network regularization SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/I2MTC60896.2024.10560635 DO https://doi.org/10.1109/I2MTC60896.2024.10560635 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
