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
Deep Learning Agent for Traffic Signal Control:
, In:
2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
,
Chitti, T N
;
Sanapala, Praneeth
;
Punith, C
.. - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ICONSTEM60960.2024.10568865
RT T1
2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
: T1
Deep Learning Agent for Traffic Signal Control
UL https://suche.suub.uni-bremen.de/peid=ieee-10568865&Exemplar=1&LAN=DE A1 Chitti, T N A1 Sanapala, Praneeth A1 Punith, C A1 Rahul, G A1 Rajendran, Rohith YR 2024 K1 Deep learning K1 Machine learning algorithms K1 Urban areas K1 Transportation K1 Transforms K1 Mobile applications K1 Delays K1 Convolutional Neural Network K1 Cameras K1 Human Animal Conflict K1 Alert mobile application SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICONSTEM60960.2024.10568865 DO https://doi.org/10.1109/ICONSTEM60960.2024.10568865 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)