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
Predicting Channel Gain Threshold for V2V Communications wi..:
, In:
2022 International Conference on Informatics Electrical and Electronics (ICIEE)
,
Kurniawati, Nazmia
;
Novfitri, Aisyah
;
Hasani, Rifqi Fuadi
. - p. 1-5 , 2022
Link:
https://doi.org/10.1109/ICIEE55596.2022.10010101
RT T1 <cTitle>2022 International Conference on Informatics Electrical and Electronics (ICIEE)</cTitle>: T1 <Title>Predicting Channel Gain Threshold for V2V Communications with Varying Doppler Shift Using Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10010101&Exemplar=1&LAN=DE A1 Kurniawati, Nazmia A1 Novfitri, Aisyah A1 Hasani, Rifqi Fuadi A1 Tyas, Arti Suryaning YR 2022 K1 Doppler shift K1 Degradation K1 Machine learning algorithms K1 Government K1 Modulation K1 Prediction algorithms K1 Informatics K1 Doppler Shift K1 V2V K1 Machine Learning SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICIEE55596.2022.10010101 DO https://doi.org/10.1109/ICIEE55596.2022.10010101 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
