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
DuaNet: A Novel Lightweight CNN Model for Classifying Five-..:
, In:
2022 International Conference on Data Science and Intelligent Computing (ICDSIC)
,
Al-Naqeeb, Duaa
;
Al-Shamma, Omran
- p. 202-207 , 2022
Link:
https://doi.org/10.1109/ICDSIC56987.2022.10075981
RT T1 <cTitle>2022 International Conference on Data Science and Intelligent Computing (ICDSIC)</cTitle>: T1 <Title>DuaNet: A Novel Lightweight CNN Model for Classifying Five-class Lung Diseases</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10075981&Exemplar=1&LAN=DE A1 Al-Naqeeb, Duaa A1 Al-Shamma, Omran YR 2022 K1 COVID-19 K1 Microorganisms K1 Tuberculosis K1 Pulmonary diseases K1 Computational modeling K1 Data models K1 Mobile applications K1 Lung disease classification K1 deep learning K1 lightweight model K1 improved AlexNet K1 CNN model SP 202 OP 207 LK http://dx.doi.org/https://doi.org/10.1109/ICDSIC56987.2022.10075981 DO https://doi.org/10.1109/ICDSIC56987.2022.10075981 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
