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
Deep Reinforcement Learning based Multi-attribute Auction M..:
, In:
Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security
,
Tong, Yongju
;
Kang, Jiawen
;
Chen, Junlong
... - p. 36-42 , 2024
Link:
https://dl.acm.org/doi/10.1145/3665348.3665356
RT T1 <cTitle>Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security</cTitle>: T1 <Title>Deep Reinforcement Learning based Multi-attribute Auction Model for Resource Allocation in Vehicular AIGC Services</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3665356&Exemplar=1&LAN=DE A1 Tong, Yongju A1 Kang, Jiawen A1 Chen, Junlong A1 Xu, Minrui A1 Yang, Helin A1 Xu, Minghui A1 Xie, Renchao A1 Xiong, Zehui PB ACM YR 2024 K1 Networks K1 Network services K1 Cloud computing SP 36 OP 42 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3665348.3665356 DO https://dl.acm.org/doi/10.1145/3665348.3665356 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
