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
Prediction of Traffic Accidents Using Deep Learning Ensembl..:
, In:
2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
,
Sekhar, G Soma
;
Mahadik, Shubhangi
;
Ramana, Attili Venkata
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICSES60034.2023.10465425
RT T1 <cTitle>2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)</cTitle>: T1 <Title>Prediction of Traffic Accidents Using Deep Learning Ensemble Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10465425&Exemplar=1&LAN=DE A1 Sekhar, G Soma A1 Mahadik, Shubhangi A1 Ramana, Attili Venkata A1 Chandra Shaker Reddy, Pundru A1 Pughazendi, N A1 Asif, S YR 2023 K1 Road accidents K1 Roads K1 Soft sensors K1 Urban areas K1 Weather forecasting K1 Predictive models K1 Feature extraction K1 ML K1 traffic accident K1 risk prediction K1 traffic accidents K1 DL SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICSES60034.2023.10465425 DO https://doi.org/10.1109/ICSES60034.2023.10465425 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
