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 Classification of Large-Scale Respiratory Sound D..:
, In:
2019 19th International Conference on Control, Automation and Systems (ICCAS)
,
Minami, Koki
;
Lu, Huimin
;
Kim, Hyoungseop
... - p. 804-807 , 2019
Link:
https://doi.org/10.23919/ICCAS47443.2019.8971689
RT T1
2019 19th International Conference on Control, Automation and Systems (ICCAS)
: T1
Automatic Classification of Large-Scale Respiratory Sound Dataset Based on Convolutional Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-8971689&Exemplar=1&LAN=DE A1 Minami, Koki A1 Lu, Huimin A1 Kim, Hyoungseop A1 Mabu, Shingo A1 Hirano, Yasushi A1 Kido, Shoji YR 2019 SN 2642-3901 K1 Respiratory Sound Classification K1 Computer Aided Diagnosis K1 Short-Time Fourier Transform K1 Continuous Wavelet Transform K1 Convolutional Neural Network SP 804 OP 807 LK http://dx.doi.org/https://doi.org/10.23919/ICCAS47443.2019.8971689 DO https://doi.org/10.23919/ICCAS47443.2019.8971689 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)