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
LPG Leakage Risk Predictions from an IoT-Based Detection Sy..:
, In:
2023 9th International Conference on Engineering, Applied Sciences, and Technology (ICEAST)
,
Lorthong, Saksiwa
;
Janjarassuk, Udom
;
Jayranaiwachira, Nuthvipa
- p. 14-17 , 2023
Link:
https://doi.org/10.1109/ICEAST58324.2023.10157528
RT T1 <cTitle>2023 9th International Conference on Engineering, Applied Sciences, and Technology (ICEAST)</cTitle>: T1 <Title>LPG Leakage Risk Predictions from an IoT-Based Detection System Using Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10157528&Exemplar=1&LAN=DE A1 Lorthong, Saksiwa A1 Janjarassuk, Udom A1 Jayranaiwachira, Nuthvipa YR 2023 SN 2768-4857 K1 Analytical models K1 Regulators K1 Atmospheric modeling K1 Machine learning K1 Artificial neural networks K1 Predictive models K1 Feature extraction K1 Internet of Things (IoT) K1 LPG Leakage Detection K1 LPG Leakage Risk Prediction K1 Machine Learning SP 14 OP 17 LK http://dx.doi.org/https://doi.org/10.1109/ICEAST58324.2023.10157528 DO https://doi.org/10.1109/ICEAST58324.2023.10157528 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
