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
Two-stream Convolutional Self-attention Model for Leakage A..:
, In:
Proceedings of the 2024 3rd International Symposium on Intelligent Unmanned Systems and Artificial Intelligence
,
Dong, Hongyang
;
Liu, Tao
;
Jiang, Dong
.. - p. 231-238 , 2024
Link:
https://dl.acm.org/doi/10.1145/3669721.3669728
RT T1 <cTitle>Proceedings of the 2024 3rd International Symposium on Intelligent Unmanned Systems and Artificial Intelligence</cTitle>: T1 <Title>Two-stream Convolutional Self-attention Model for Leakage Aperture Equivalent Prediction of High-pressure Gas Pipeline</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3669728&Exemplar=1&LAN=DE A1 Dong, Hongyang A1 Liu, Tao A1 Jiang, Dong A1 Li, Huadong A1 Zhao, Dongmei PB ACM YR 2024 K1 Dual stream model K1 Leakage aperture equivalent K1 Self-attention K1 Spectrogram K1 convolutional K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Scene anomaly detection K1 Natural language processing K1 Speech recognition SP 231 OP 238 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3669721.3669728 DO https://dl.acm.org/doi/10.1145/3669721.3669728 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
