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 the Risk Level and Position of Objects in the Fo..:
, In:
2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC)
,
Prasetyo, Tegar
;
Bahiuddin, Irfan
;
Rezy Pratama, Dafa
... - p. 43-48 , 2023
Link:
https://doi.org/10.1109/ICONNIC59854.2023.10467780
RT T1 <cTitle>2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC)</cTitle>: T1 <Title>Predicting the Risk Level and Position of Objects in the Forklift's Blind Spot Area Using Artificial Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10467780&Exemplar=1&LAN=DE A1 Prasetyo, Tegar A1 Bahiuddin, Irfan A1 Rezy Pratama, Dafa A1 Winarno, Agustinus A1 Hatta Mohammed Ariff, Mohd A1 Danny Kurniawan, Sthepanus A1 Surojo YR 2023 K1 Training K1 Visualization K1 Microcontrollers K1 Ultrasonic variables measurement K1 Training data K1 Artificial neural networks K1 Radar K1 artificial neural networks K1 prediction K1 blind spots K1 object detection K1 classification SP 43 OP 48 LK http://dx.doi.org/https://doi.org/10.1109/ICONNIC59854.2023.10467780 DO https://doi.org/10.1109/ICONNIC59854.2023.10467780 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
