Browsing by Subject "Machine-learning"

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Experimental and Numerical Based Defect Detection in a Model Combustion Chamber through Machine Learning

von der Haar, Henrik; Ignatidis, Panagiotis; Dinkelacker, Friedrich (Tōkyō : [Verlag nicht ermittelbar], 2021)

A disturbed combustion process in an aircraft engine has an impact on the internal flow and leads to specific irregularities in the species distribution in the exhaust jet. Measuring this distribution provides information ...
Predicting the electronic and structural properties of two-dimensional materials using machine learning

Alibagheri, Ehsan; Mortazavi, Bohayra; Rabczuk, Timon (Encino, Calif. : Tech Science Press, 2021)

Machine-learning (ML) models are novel and robust tools to establish structure-to-property connection on the basis of computationally expensive ab-initio datasets. For advanced technologies, predicting novel materials and ...
The S-shaped relationship between open innovation and financial performance: A longitudinal perspective using a novel text-based measure

Schäper, Thomas; Jung, Christopher; Foege, Johann Nils; Bogers, Marcel L.A.M.; Fainshmidt, Stav; Nüesch, Stephan (Amsterdam : Elsevier, 2023)

Research on the financial performance outcomes of open innovation has been equivocal and often relies on cross-sectional data and problematic assumptions about the role of the external context. A longitudinal perspective ...

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