Hanuschkin, Alexander ; Zündorf, Samuel ; Schmidt, M. ; Welch, Cooper ; Schorr, Jürgen ; Peters, Steven ; Dreizler, Andreas ; Böhm, Benjamin (2021)
Investigation of cycle-to-cycle variations in a spark-ignition engine based on a machine learning analysis of the early flame kernel.
In: Proceedings of the Combustion Institute, 38 (4)
doi: 10.1016/j.proci.2020.05.030
Artikel, Bibliographie

Studer, Stefan ; Bui, Thanh Binh ; Drescher, Christian ; Hanuschkin, Alexander ; Winkler, Ludwig ; Peters, Steven ; Müller, Klaus-Robert (2021)
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology.
In: Machine Learning and Knowledge Extraction, 3 (2)
doi: 10.3390/make3020020
Artikel, Bibliographie

Dreher, Daniel ; Schmidt, Marius ; Welch, Cooper ; Ourza, Sara ; Zündorf, Samuel ; Maucher, Johannes ; Peters, Steven ; Dreizler, Andreas ; Böhm, Benjamin ; Hanuschkin, Alexander (2020)
Deep feature learning of in-cylinder flow fields to analyze cycle-to-cycle variations in an SI engine.
In: International Journal of Engine Research, 22 (11)
doi: 10.1177/1468087420974148
Artikel, Bibliographie

Hanuschkin, Alexander ; Schober, Steffen ; Bode, Johannes ; Schorr, Jürgen ; Böhm, Benjamin ; Krüger, Christian ; Peters, Steven (2019)
Machine learning–based analysis of in-cylinder flow fields to predict combustion engine performance.
In: International Journal of Engine Research, 22 (1)
doi: 10.1177/1468087419833269
Artikel, Bibliographie