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
ML approaches for OTDR diagnoses in passive optical network..:
Straub, Michael
;
Reber, Johannes
;
Saier, Tarek
...
Journal of Optical Communications and Networking. 16 (2024) 7 - p. C43 , 2024
Link:
https://doi.org/10.1364/jocn.516659
RT Journal T1 <Title>ML approaches for OTDR diagnoses in passive optical networks—event detection and classification: ways for ODN branch assignment</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1364_jocn.516659&Exemplar=1&LAN=DE A1 Straub, Michael A1 Reber, Johannes A1 Saier, Tarek A1 Borkowski, Robert A1 Li, Shi A1 Khomchenko, Dmitry A1 Richter, André A1 Färber, Michael A1 Käfer, Tobias A1 Bonk, René PB Optica Publishing Group YR 2024 SN 1943-0620 SN 1943-0639 JF Journal of Optical Communications and Networking VO 16 IS 7 SP C43 LK http://dx.doi.org/https://doi.org/10.1364/jocn.516659 DO https://doi.org/10.1364/jocn.516659 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
