elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Online Zustandsbestimmung von Flight Crews - Was können Machine Learning Ansätze?

Lorrig, Patrick and Hamann, Anneke (2022) Online Zustandsbestimmung von Flight Crews - Was können Machine Learning Ansätze? 67. Fliegerarzttagung der Bundeswehr, 2022-11-14 - 2022-11-16, Bonn, Deutschland.

[img] PDF
5MB

Abstract

Online Zustandsbestimung von Flight Crews Was können Machine Learning Ansätze?

Item URL in elib:https://elib.dlr.de/190467/
Document Type:Conference or Workshop Item (Speech)
Title:Online Zustandsbestimmung von Flight Crews - Was können Machine Learning Ansätze?
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lorrig, PatrickUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hamann, AnnekeUNSPECIFIEDhttps://orcid.org/0000-0001-6312-5116UNSPECIFIED
Date:15 November 2022
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Machine Learning
Event Title:67. Fliegerarzttagung der Bundeswehr
Event Location:Bonn, Deutschland
Event Type:national Conference
Event Start Date:14 November 2022
Event End Date:16 November 2022
Organizer:Bundeswehr
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Human Factors
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Systemergonomy
Deposited By: Höver, Julia
Deposited On:23 Nov 2022 09:26
Last Modified:24 Apr 2024 20:51

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.