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
Dragonfly algorithm–support vector machine approach for pre..:
Omari, Faiza
;
Khaouane, Latifa
;
Laidi, Maamar
...
Computer Methods in Biomechanics and Biomedical Engineering. 27 (2023) 9 - p. 1119-1128 , 2023
Link:
https://doi.org/10.1080/10255842.2023.2228957
RT Journal T1
Dragonfly algorithm–support vector machine approach for prediction the optical properties of blood
UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_10255842.2023.2228957&Exemplar=1&LAN=DE A1 Omari, Faiza A1 Khaouane, Latifa A1 Laidi, Maamar A1 Ibrir, Abdellah A1 Roubehie Fissa, Mohamed A1 Hentabli, Mohamed A1 Hanini, Salah PB Informa UK Limited YR 2023 SN 1025-5842 SN 1476-8259 JF Computer Methods in Biomechanics and Biomedical Engineering VO 27 IS 9 SP 1119 OP 1128 LK http://dx.doi.org/https://doi.org/10.1080/10255842.2023.2228957 DO https://doi.org/10.1080/10255842.2023.2228957 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)