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
Diagnosing Tuberculosis With a Novel Support Vector Machine..:
Saybani, Mahmoud Reza
;
Shamshirband, Shahaboddin
;
Golzari Hormozi, Shahram
...
Iranian Red Crescent Medical Journal. 17 (2015) 4 - p. , 2015
Link:
https://doi.org/10.5812/ircmj.17(4)2015.24557
RT Journal T1
Diagnosing Tuberculosis With a Novel Support Vector Machine-Based Artificial Immune Recognition System
UL https://suche.suub.uni-bremen.de/peid=cr-10.5812_ircmj.17(4)2015.24557&Exemplar=1&LAN=DE A1 Saybani, Mahmoud Reza A1 Shamshirband, Shahaboddin A1 Golzari Hormozi, Shahram A1 Wah, Teh Ying A1 Aghabozorgi, Saeed A1 Pourhoseingholi, Mohamad Amin A1 Olariu, Teodora PB DoNotEdit YR 2015 SN 2074-1804 SN 2074-1812 JF Iranian Red Crescent Medical Journal VO 17 IS 4 LK http://dx.doi.org/https://doi.org/10.5812/ircmj.17(4)2015.24557 DO https://doi.org/10.5812/ircmj.17(4)2015.24557 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)