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
Evaluation of ML-based Positioning Systems with RSSI Measur..:
, In:
Proceedings of the Int'l ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks
,
Estrada, Rebeca
;
Aizaga, Xavier
;
Vera, Nelson
. - p. 77-82 , 2023
Link:
https://dl.acm.org/doi/10.1145/3616394.3618261
RT T1 <cTitle>Proceedings of the Int'l ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks</cTitle>: T1 <Title>Evaluation of ML-based Positioning Systems with RSSI Measured on the User's Device or APs</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3618261&Exemplar=1&LAN=DE A1 Estrada, Rebeca A1 Aizaga, Xavier A1 Vera, Nelson A1 Asanza, Victor PB ACM YR 2023 K1 indoor positioning systems K1 machine learning K1 rssi K1 trilateration K1 Networks K1 Network performance evaluation K1 Network measurement K1 Computing methodologies K1 Machine learning K1 Machine learning approaches SP 77 OP 82 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3616394.3618261 DO https://dl.acm.org/doi/10.1145/3616394.3618261 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
