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
Design of a CNN Based Autonomous Sitting Posture Recognitio..:
, In:
2024 16th International Conference on Computer and Automation Engineering (ICCAE)
,
Gupta, Yash
;
Goyal, Yogesh
;
Chauhan, Siddharth
. - p. 437-441 , 2024
Link:
https://doi.org/10.1109/ICCAE59995.2024.10569487
RT T1
2024 16th International Conference on Computer and Automation Engineering (ICCAE)
: T1
Design of a CNN Based Autonomous Sitting Posture Recognition System
UL https://suche.suub.uni-bremen.de/peid=ieee-10569487&Exemplar=1&LAN=DE A1 Gupta, Yash A1 Goyal, Yogesh A1 Chauhan, Siddharth A1 Rao, Madhav YR 2024 SN 2154-4360 K1 Support vector machines K1 Adaptation models K1 Privacy K1 Accuracy K1 Computational modeling K1 Sensor phenomena and characterization K1 Sensor systems K1 Sensory system K1 Sitting Posture K1 CNN K1 Sensors K1 Pressure Sensitive Sensors K1 Edge Computing K1 Real-Time Esti-mation SP 437 OP 441 LK http://dx.doi.org/https://doi.org/10.1109/ICCAE59995.2024.10569487 DO https://doi.org/10.1109/ICCAE59995.2024.10569487 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)