Fatih Kocatürk

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8 Artikel
3 Beitrag in Konferenzband

Challenges and the Need to Integrate Rolling Stock and Crew Scheduling for Efficient Railway Operations
Päprer, P., Neufeld, J. S., Buscher, U., Scheffler, M., Wastian, M., Rosenberger, J., Joshi, K., Kocatürk, F., Ehmke, J., Kunovjanek, M., Schwab, N. & Popper, N., 1 Feb. 2025, in: IFAC-PapersOnLine. 59, 1, S. 445-450 6 S.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

Open Access
Combined material model to predict flow curves of cold forging raw materials having high strain hardening exponent
Zeren, D., Kocatürk, F. & Toparli, M. B., 25 Mai 2023, Material Forming - The 26th International ESAFORM Conference on Material Forming – ESAFORM 2023. Madej, L., Sitko, M. & Perzynsk, K. (Hrsg.). Band 28. S. 1503-1510 8 S.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

Open Access
A Model to Construct and Predict Flow Curve of Materials from Compression Test Results with Machine Learning Models Using Python
Kocatürk, F., Aydın, T. & Zeren, D., 22 Juli 2022, in: Key Engineering Materials. 926, S. 2022-2030 9 S.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

Open Access

8 Vortrag

Optimize Green Locomotive Assignment Problem with Data-driven Energy Models
Kocatürk, F. (Vortragende*r), Giannandrea, D. (Autor*in), Baumgartner, G. (Autor*in) & Ehmke, J. F. (Autor*in)
21 März 2025
Aktivität: Vorträge › Vortrag › Science to Science
Machine Learning Models to Optimize Energy Consumption of Electrical Locomotives
Kocatürk, F. (Vortragende*r), Giannandrea, D. (Autor*in), Baumgartner, G. (Autor*in) & Ehmke, J. F. (Autor*in)
5 Sept. 2024
Aktivität: Vorträge › Vortrag › Science to Science
Green Locomotive Assignment Problem with Deadheading on Trains
Baumgartner, G. (Vortragende*r), Kocatürk, F. (Autor*in), Scherr, N. (Autor*in) & Ehmke, J. F. (Autor*in)
3 Juli 2024
Aktivität: Vorträge › Vortrag › Science to Science

Fatih Kocatürk

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Kooperationen und Spitzenforschungsbereiche der letzten fünf Jahre

Details ergründen

Challenges and the Need to Integrate Rolling Stock and Crew Scheduling for Efficient Railway Operations

Combined material model to predict flow curves of cold forging raw materials having high strain hardening exponent

A Model to Construct and Predict Flow Curve of Materials from Compression Test Results with Machine Learning Models Using Python

Optimize Green Locomotive Assignment Problem with Data-driven Energy Models

Machine Learning Models to Optimize Energy Consumption of Electrical Locomotives

Green Locomotive Assignment Problem with Deadheading on Trains

Fatih Kocatürk

Fingerprint

Kooperationen und Spitzenforschungsbereiche der letzten fünf Jahre

Publikationen

Challenges and the Need to Integrate Rolling Stock and Crew Scheduling for Efficient Railway Operations

Combined material model to predict flow curves of cold forging raw materials having high strain hardening exponent

A Model to Construct and Predict Flow Curve of Materials from Compression Test Results with Machine Learning Models Using Python

Aktivitäten

Optimize Green Locomotive Assignment Problem with Data-driven Energy Models

Machine Learning Models to Optimize Energy Consumption of Electrical Locomotives

Green Locomotive Assignment Problem with Deadheading on Trains