Simulation of Secondary Metallurgical Processes by Using Computational Thermodynamics and Comprehensive Statistical Learning Methods
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Simulation of Secondary Metallurgical Processes by Using Computational Thermodynamics and Comprehensive Statistical Learning Methods. / Kavic, Daniel; Bernhard, Michael Christian; Rössler, Roman et al.
Proceedings of AISTech 2024, Columbus, Ohio, US. 2024.
Proceedings of AISTech 2024, Columbus, Ohio, US. 2024.
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
Harvard
Kavic, D, Bernhard, MC, Rössler, R & Bernhard, C 2024, Simulation of Secondary Metallurgical Processes by Using Computational Thermodynamics and Comprehensive Statistical Learning Methods. in Proceedings of AISTech 2024, Columbus, Ohio, US.
APA
Kavic, D., Bernhard, M. C., Rössler, R., & Bernhard, C. (2024). Simulation of Secondary Metallurgical Processes by Using Computational Thermodynamics and Comprehensive Statistical Learning Methods. In Proceedings of AISTech 2024, Columbus, Ohio, US
Vancouver
Kavic D, Bernhard MC, Rössler R, Bernhard C. Simulation of Secondary Metallurgical Processes by Using Computational Thermodynamics and Comprehensive Statistical Learning Methods. in Proceedings of AISTech 2024, Columbus, Ohio, US. 2024
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Bibtex - Download
@inproceedings{7c76ba4df0914e4f9973938aa9f47b06,
title = "Simulation of Secondary Metallurgical Processes by Using Computational Thermodynamics and Comprehensive Statistical Learning Methods",
author = "Daniel Kavic and Bernhard, {Michael Christian} and Roman R{\"o}ssler and Christian Bernhard",
year = "2024",
month = may,
day = "7",
language = "English",
booktitle = "Proceedings of AISTech 2024, Columbus, Ohio, US",
}
RIS (suitable for import to EndNote) - Download
TY - GEN
T1 - Simulation of Secondary Metallurgical Processes by Using Computational Thermodynamics and Comprehensive Statistical Learning Methods
AU - Kavic, Daniel
AU - Bernhard, Michael Christian
AU - Rössler, Roman
AU - Bernhard, Christian
PY - 2024/5/7
Y1 - 2024/5/7
M3 - Conference contribution
BT - Proceedings of AISTech 2024, Columbus, Ohio, US
ER -
