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
Comprehensive Driver State Recognition Based on Deep Learni..:
, In:
2019 IEEE 19th International Conference on Communication Technology (ICCT)
,
Hu, Hexuan
;
Zhu, Yuhang
;
Zhang, Yujing
... - p. 1678-1682 , 2019
Link:
https://doi.org/10.1109/ICCT46805.2019.8947282
RT T1 <cTitle>2019 IEEE 19th International Conference on Communication Technology (ICCT)</cTitle>: T1 <Title>Comprehensive Driver State Recognition Based on Deep Learning and PERCLOS Criterion</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8947282&Exemplar=1&LAN=DE A1 Hu, Hexuan A1 Zhu, Yuhang A1 Zhang, Yujing A1 Zhou, Quan A1 Feng, Yun A1 Tan, Guoping YR 2019 SN 2576-7828 K1 Fatigue K1 Feature extraction K1 Vehicles K1 Face K1 Face recognition K1 Emotion recognition K1 Classification algorithms K1 deep learning K1 emotion recognition K1 fatigue recognition K1 comprehensive decision-making mechanism SP 1678 OP 1682 LK http://dx.doi.org/https://doi.org/10.1109/ICCT46805.2019.8947282 DO https://doi.org/10.1109/ICCT46805.2019.8947282 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
