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 Features Comparative Analysis for COVID-19 Detection f..:
, In:
2021 International Conference on Frontiers of Information Technology (FIT)
,
Ullah, Naeem
;
Javed, Ali
- p. 258-263 , 2021
Link:
https://doi.org/10.1109/FIT53504.2021.00055
RT T1 <cTitle>2021 International Conference on Frontiers of Information Technology (FIT)</cTitle>: T1 <Title>Deep Features Comparative Analysis for COVID-19 Detection from the Chest Radiograph Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9701428&Exemplar=1&LAN=DE A1 Ullah, Naeem A1 Javed, Ali YR 2021 K1 COVID-19 K1 Support vector machines K1 Deep learning K1 Analytical models K1 Databases K1 Feature extraction K1 Reliability K1 Chest X-Ray K1 COVID-l9 K1 Classification K1 Detection K1 Deep Learning Models K1 Feature Extraction SP 258 OP 263 LK http://dx.doi.org/https://doi.org/10.1109/FIT53504.2021.00055 DO https://doi.org/10.1109/FIT53504.2021.00055 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
