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
Intelligent system for the visual support of caloric intake..:
jose mejia
;
Gilberto Rivera-Zárate
;
Contreras Masse Roberto
.
https://doi.org/10.1007/978-3-030-40977-7_19. , 2020
Link:
https://doi.org/10.1007/978-3-030-40977-7_19
RT Journal T1
Intelligent system for the visual support of caloric intake of food in inhabitants of a smart city using a deep learning model
UL https://suche.suub.uni-bremen.de/peid=base-ftunivaciudadjua:oai:uacj.mx:oai:cathi.uacj.mx:20.500.11961ir-11708&Exemplar=1&LAN=DE A1 jose mejia A1 Gilberto Rivera-Zárate A1 Contreras Masse Roberto A1 Alberto Ochoa PB Springer, Cham YR 2020 K1 Deep learning K1 Caloric intake of food K1 info:eu-repo/classification/cti/1 JF https://doi.org/10.1007/978-3-030-40977-7_19 LK http://dx.doi.org/https://doi.org/10.1007/978-3-030-40977-7_19 DO https://doi.org/10.1007/978-3-030-40977-7_19 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)