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
Predicting Indoor Crowd Density using Column-Structured Dee..:
, In:
Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility
,
Sudo, Akihito
;
Teng, Teck-Hou
;
Lau, Hoong Chuin
. - p. 1-7 , 2017
Link:
https://dl.acm.org/doi/10.1145/3152341.3152349
RT T1
Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility
: T1
Predicting Indoor Crowd Density using Column-Structured Deep Neural Network
UL https://suche.suub.uni-bremen.de/peid=acm-3152349&Exemplar=1&LAN=DE A1 Sudo, Akihito A1 Teng, Teck-Hou A1 Lau, Hoong Chuin A1 Sekimoto, Yoshihide PB ACM YR 2017 K1 Deep Neural Network K1 Feature Extraction K1 Indoor Crowd Prediction K1 Information systems K1 Information systems applications K1 Spatial-temporal systems K1 Geographic information systems SP 1 OP 7 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3152341.3152349 DO https://dl.acm.org/doi/10.1145/3152341.3152349 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)