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
Deep Learning Approaches For Epilepsy Seizures Detection:
, In:
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
,
P. S, Purnima
;
M, Suresh
- p. 501-505 , 2022
Link:
https://doi.org/10.1109/ICAC3N56670.2022.10074207
RT T1
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
: T1
Deep Learning Approaches For Epilepsy Seizures Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10074207&Exemplar=1&LAN=DE A1 P. S, Purnima A1 M, Suresh YR 2022 K1 Deep learning K1 Wavelet transforms K1 Buildings K1 Epilepsy K1 Medical services K1 Manuals K1 Brain modeling K1 Seizures K1 Accuracy K1 deep learning K1 EEG data SP 501 OP 505 LK http://dx.doi.org/https://doi.org/10.1109/ICAC3N56670.2022.10074207 DO https://doi.org/10.1109/ICAC3N56670.2022.10074207 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)