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
A machine learning approach for distinguishing hearing perc..:
, In:
2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES)
,
Paulraj, M. P.
;
Subramaniam, Kamalraj
;
Yaccob, Sazali Bin
.. - p. 991-996 , 2014
Link:
https://doi.org/10.1109/IECBES.2014.7047661
RT T1 <cTitle>2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES)</cTitle>: T1 <Title>A machine learning approach for distinguishing hearing perception level using auditory evoked potentials</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-7047661&Exemplar=1&LAN=DE A1 Paulraj, M. P. A1 Subramaniam, Kamalraj A1 Yaccob, Sazali Bin A1 Adom, Abdul Hamid Bin A1 Hema, C. R. YR 2014 K1 Auditory system K1 Ear K1 Accuracy K1 Feature extraction K1 Fractals K1 Electroencephalography K1 Biological neural networks K1 EEG K1 auditory evoked potential K1 hearing perception level K1 feed forward network K1 feedback network SP 991 OP 996 LK http://dx.doi.org/https://doi.org/10.1109/IECBES.2014.7047661 DO https://doi.org/10.1109/IECBES.2014.7047661 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
