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
An RSSI Indoor Localization Technique Using CNN Regression:
, In:
Proceedings of the 2023 12th International Conference on Networks, Communication and Computing
,
Muraguchi, Reiya
;
Takano, Yasuhiro
;
Su, Hsuan-Jung
- p. 80-84 , 2023
Link:
https://dl.acm.org/doi/10.1145/3638837.3638849
RT T1 <cTitle>Proceedings of the 2023 12th International Conference on Networks, Communication and Computing</cTitle>: T1 <Title>An RSSI Indoor Localization Technique Using CNN Regression</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3638849&Exemplar=1&LAN=DE A1 Muraguchi, Reiya A1 Takano, Yasuhiro A1 Su, Hsuan-Jung PB ACM YR 2023 K1 convolution neural network (CNN) K1 indoor localization. K1 received signal strength indicator (RSSI) K1 ridge regression K1 Information systems K1 Information systems applications K1 Spatial-temporal systems K1 Location based services SP 80 OP 84 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3638837.3638849 DO https://dl.acm.org/doi/10.1145/3638837.3638849 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
