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
DynDSE: Automated Multi-Objective Design Space Exploration ..:
Giovanni Schiboni
;
Juan Carlos Suarez
;
Rui Zhang
.
https://www.mdpi.com/1424-8220/20/21/6104. , 2020
Link:
https://doi.org/10.3390/s20216104
RT Journal T1
DynDSE: Automated Multi-Objective Design Space Exploration for Context-Adaptive Wearable IoT Edge Devices
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:ab288dfcacbf4b7bb75054ff60bbe735&Exemplar=1&LAN=DE A1 Giovanni Schiboni A1 Juan Carlos Suarez A1 Rui Zhang A1 Oliver Amft PB MDPI AG YR 2020 K1 health monitoring K1 automatic dietary monitoring K1 physiological sensing K1 pattern spotting K1 energy saving K1 embedded machine learning K1 Chemical technology K1 TP1-1185 JF https://www.mdpi.com/1424-8220/20/21/6104 LK http://dx.doi.org/https://doi.org/10.3390/s20216104 DO https://doi.org/10.3390/s20216104 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)