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
Hybrid features extraction for the online mineral grades de..:
Bendaouia, Ahmed
;
Abdelwahed, El Hassan
;
Qassimi, Sara
...
Engineering Applications of Artificial Intelligence. 129 (2024) - p. 107680 , 2024
Link:
https://doi.org/10.1016/j.engappai.2023.107680
RT Journal T1 <Title>Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.engappai.2023.107680&Exemplar=1&LAN=DE A1 Bendaouia, Ahmed A1 Abdelwahed, El Hassan A1 Qassimi, Sara A1 Boussetta, Abdelmalek A1 Benzakour, Intissar A1 Benhayoun, Abderrahmane A1 Amar, Oumkeltoum A1 Bourzeix, François A1 Baïna, Karim A1 Cherkaoui, Mouhamed A1 Hasidi, Oussama PB Elsevier BV YR 2024 SN 0952-1976 JF Engineering Applications of Artificial Intelligence VO 129 SP 107680 LK http://dx.doi.org/https://doi.org/10.1016/j.engappai.2023.107680 DO https://doi.org/10.1016/j.engappai.2023.107680 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
