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
Concurrent Multipath Transmission for ultra-Reliable and Lo..:
, In:
Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things
,
Chen, Tan
;
Ai, Jiahao
;
Xiong, Xin
. - p. 678-683 , 2023
Link:
https://dl.acm.org/doi/10.1145/3603781.3603901
RT T1 <cTitle>Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things</cTitle>: T1 <Title>Concurrent Multipath Transmission for ultra-Reliable and Low Latency with Deep Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3603901&Exemplar=1&LAN=DE A1 Chen, Tan A1 Ai, Jiahao A1 Xiong, Xin A1 Tan, Fuxing PB ACM YR 2023 K1 concurrent multipath transmission K1 deep reinforcement learning K1 rate allocation K1 ultra-reliable low latency communication K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Networks K1 Network algorithms SP 678 OP 683 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3603781.3603901 DO https://dl.acm.org/doi/10.1145/3603781.3603901 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
