Evaluation of methods for AI-enabled material property predictions

J.K. Kaltenegger; Ekaterina Petrova; André Borrmann; Pieter Pauwels

Evaluation of methods for AI-enabled material property predictions

J.K. Kaltenegger, Ekaterina Petrova, André Borrmann, Pieter Pauwels

Information Systems in the Built Environment
EAISI Foundational
EAISI High Tech Systems

Onderzoeksoutput: Bijdrage aan congres › Abstract › Academic

Originele taal-2	Engels
Status	Ingediend - 2024
Evenement	Georg Nemetschek Institute Symposium & Expo on Artificial Intelligence for the Built World (GNI) - Munich, Duitsland Duur: 10 sep. 2024 → 12 sep. 2024

Congres

Congres	Georg Nemetschek Institute Symposium & Expo on Artificial Intelligence for the Built World (GNI)
Land/Regio	Duitsland
Stad	Munich
Periode	10/09/24 → 12/09/24

Citeer dit

@conference{7c4a365b16404bda87d8d7516befb0ff,

title = "Evaluation of methods for AI-enabled material property predictions",

author = "J.K. Kaltenegger and Ekaterina Petrova and Andr{\'e} Borrmann and Pieter Pauwels",

year = "2024",

language = "English",

note = "Georg Nemetschek Institute Symposium & Expo on Artificial Intelligence for the Built World (GNI) ; Conference date: 10-09-2024 Through 12-09-2024",

}