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
Shape Reconstruction for Electrical Impedance Tomography wi..:
, In:
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
,
Wang, Zichen
;
Zhang, Xinyu
;
Wang, Di
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/I2MTC48687.2022.9806671
RT T1 <cTitle>2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)</cTitle>: T1 <Title>Shape Reconstruction for Electrical Impedance Tomography with V2D-Net Deep Convolutional Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9806671&Exemplar=1&LAN=DE A1 Wang, Zichen A1 Zhang, Xinyu A1 Wang, Di A1 Fu, Rong A1 Chen, Xiaoyan A1 Wang, Huaxiang YR 2022 SN 2642-2077 K1 Deep learning K1 Electrical impedance tomography K1 Shape K1 Convolution K1 Media K1 Feature extraction K1 Convolutional neural networks K1 electrical impedance tomography K1 convolutional neural network K1 dense connection K1 pre-reconstructor regularization K1 image reconstruction SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/I2MTC48687.2022.9806671 DO https://doi.org/10.1109/I2MTC48687.2022.9806671 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
