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
An Intelligent Signal Processing Method Based on Random For..:
, In:
2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)
,
Hao, Chaoyuan
;
Jin, Longzhong
;
Qian, Yuheng
. - p. 942-947 , 2023
Link:
https://doi.org/10.1109/AUTEEE60196.2023.10407129
RT T1 <cTitle>2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)</cTitle>: T1 <Title>An Intelligent Signal Processing Method Based on Random Forest and CNN</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10407129&Exemplar=1&LAN=DE A1 Hao, Chaoyuan A1 Jin, Longzhong A1 Qian, Yuheng A1 Guo, Zuofu YR 2023 SN 2831-4549 K1 Image coding K1 Noise reduction K1 Signal processing K1 Decoding K1 Convolutional neural networks K1 Root mean square K1 Random forests K1 signal processing K1 random forest K1 neural networks K1 encoding recognition K1 noise reduction SP 942 OP 947 LK http://dx.doi.org/https://doi.org/10.1109/AUTEEE60196.2023.10407129 DO https://doi.org/10.1109/AUTEEE60196.2023.10407129 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
