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
Exploiting Unlabeled RSSI Fingerprints in Multi-Building an..:
, In:
2023 Eleventh International Symposium on Computing and Networking (CANDAR)
,
Li, Sihao
;
Tang, Zhe
;
Kim, Kyeong Soo
. - p. 155-160 , 2023
Link:
https://doi.org/10.1109/CANDAR60563.2023.00028
RT T1 <cTitle>2023 Eleventh International Symposium on Computing and Networking (CANDAR)</cTitle>: T1 <Title>Exploiting Unlabeled RSSI Fingerprints in Multi-Building and Multi-Floor Indoor Localization through Deep Semi-Supervised Learning Based on Mean Teacher</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10406170&Exemplar=1&LAN=DE A1 Li, Sihao A1 Tang, Zhe A1 Kim, Kyeong Soo A1 Smith, Jeremy S. YR 2023 SN 2379-1896 K1 Location awareness K1 Training K1 Databases K1 Artificial neural networks K1 Fingerprint recognition K1 Semisupervised learning K1 Data models K1 Multi-building and multi-floor indoor localization K1 Wi-Fi fingerprinting K1 deep semi-supervised learning K1 mean teacher method SP 155 OP 160 LK http://dx.doi.org/https://doi.org/10.1109/CANDAR60563.2023.00028 DO https://doi.org/10.1109/CANDAR60563.2023.00028 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
