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
Automatic Trace Recognition of Ionogram with YOLOv3:
, In:
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)
,
Gong, Tai-Yuan
;
Sang, Fan
;
Yang, Tian-Yu
. - p. 1-2 , 2020
Link:
https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258025
RT T1
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)
: T1
Automatic Trace Recognition of Ionogram with YOLOv3
UL https://suche.suub.uni-bremen.de/peid=ieee-9258025&Exemplar=1&LAN=DE A1 Gong, Tai-Yuan A1 Sang, Fan A1 Yang, Tian-Yu A1 Chen, Zi-Wei YR 2020 SN 2575-8284 K1 Silicon K1 Deep learning K1 Conferences K1 Frequency locked loops K1 Ear K1 Consumer electronics K1 automatic recognition K1 deep learning K1 ionogram K1 YOLO SP 1 OP 2 LK http://dx.doi.org/https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258025 DO https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258025 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)