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
Máquina de Soporte Vectorial para la Detección y Clasificac..:
, In:
2022 IEEE Biennial Congress of Argentina (ARGENCON)
,
Sanseverinatti, Carlos I.
;
Perdomo, Mariano M.
;
Clementi, Luis A.
. - p. 1-7 , 2022
Link:
https://doi.org/10.1109/ARGENCON55245.2022.9940020
RT T1
2022 IEEE Biennial Congress of Argentina (ARGENCON)
: T1
Máquina de Soporte Vectorial para la Detección y Clasificación de Fallas en Sensores de Registro de Datos en Procesos Continuos
UL https://suche.suub.uni-bremen.de/peid=ieee-9940020&Exemplar=1&LAN=DE A1 Sanseverinatti, Carlos I. A1 Perdomo, Mariano M. A1 Clementi, Luis A. A1 Vega, Jorge R. YR 2022 K1 Kernel K1 Clasificación de Fallas K1 Sensores K1 Maquina de Soporte Vectorial K1 Optimización SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ARGENCON55245.2022.9940020 DO https://doi.org/10.1109/ARGENCON55245.2022.9940020 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)