Machine learning based spray process quantification

Jose, Basil and Hampp, Fabian (2023) Machine learning based spray process quantification. In: 32nd ILASS Europe Conference. 32nd ILASS Europe Conference, 2023-09-04 - 2023-09-07, Naples, Italy.

Full text not available from this repository.

Item URL in elib:

https://elib.dlr.de/202261/

Document Type:

Conference or Workshop Item (Speech)

Additional Information:

contribution FSAS 5.19

Title:

Machine learning based spray process quantification

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Jose, Basil	DLR-VT / Institute of Combustion Technology for Aerospace Engineering, University of Stuttgart, Germany	UNSPECIFIED	UNSPECIFIED
Hampp, Fabian	Institute of Combustion Technology for Aerospace Engineering, University of Stuttgart, Germany	UNSPECIFIED	UNSPECIFIED

Date:

2023

Journal or Publication Title:

32nd ILASS Europe Conference

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

machine learning, spray, data evaluation

Event Title:

32nd ILASS Europe Conference

Event Location:

Naples, Italy

Event Type:

international Conference

Event Start Date:

4 September 2023

Event End Date:

7 September 2023

HGF - Research field:

Energy

HGF - Program:

Materials and Technologies for the Energy Transition

HGF - Program Themes:

High-Temperature Thermal Technologies

DLR - Research area:

Energy

DLR - Program:

E VS - Combustion Systems

DLR - Research theme (Project):

E - Combustion and Power Plant Systems

Location:

Stuttgart

Institutes and Institutions:

Institute of Combustion Technology > Combustion Diagnostícs

Deposited By:

Geigle, Dr. Klaus Peter

Deposited On:

29 Jan 2024 08:48

Last Modified:

24 Apr 2024 21:02

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