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Burning Questions answered-Machine Learning Solutions for Fire Damage Prediction

Kühn, Alexandra and Brauer, Christoph (2025) Burning Questions answered-Machine Learning Solutions for Fire Damage Prediction. CU Innovation Day Composites Structures in Interiors, 2025-09-02 - 2025-09-03, Stade.

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Item URL in elib:https://elib.dlr.de/217298/
Document Type:Conference or Workshop Item (Speech)
Title:Burning Questions answered-Machine Learning Solutions for Fire Damage Prediction
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kühn, AlexandraUNSPECIFIEDhttps://orcid.org/0000-0002-6829-1372UNSPECIFIED
Brauer, ChristophUNSPECIFIEDhttps://orcid.org/0000-0003-2913-0768UNSPECIFIED
Date:2 September 2025
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:machine learning, fire prediction, thermal analysis, flame retardancy
Event Title:CU Innovation Day Composites Structures in Interiors
Event Location:Stade
Event Type:national Conference
Event Start Date:2 September 2025
Event End Date:3 September 2025
Organizer:Composites United e.V.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment
Location: Stade
Institutes and Institutions:Institut für Systemleichtbau > Sustainability for Lightweight Structures
Institut für Systemleichtbau > Production Technologies SD
Deposited By: Kühn, Dr. Alexandra
Deposited On:15 Oct 2025 10:08
Last Modified:15 Oct 2025 10:08

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