Robert Musi
1 - 7 out of 7Page size: 10
Research output
- 2024
- Published
AI assisted steel cleanness evaluation: Predicting the morphology of La-traced non-metallic inclusions using backscattered-electron images
Thiele, K., Musi, R., Prohaska, T., Irrgeher, J. & Michelic, S. K., 1 Jan 2024, In: Journal of Materials Research and Technology. 28.2024, January-February, p. 2247-2257 11 p.Research output: Contribution to journal › Article › Research › peer-review
- 2023
- Published
Comparison between image based and tabular data-based inclusion class categorization
Ramesh Babu, S., Musi, R. & Michelic, S. K., Oct 2023, In: Praktische Metallographie/Practical Metallography. 60.2023, 10, p. 660-675 16 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Comparison between image based and tabular data-based inclusion class categorization
Ramesh Babu, S., Musi, R. & Michelic, S. K., 14 Sept 2023, Practical Metallography: Praktische Metallographie – Preparation, Imaging and Analysis of Microstructures. 10 ed. de Gruyter, Vol. 60.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Comparison between image based and tabular data-based inclusion class categorization
Ramesh Babu, S., Musi, R. & Michelic, S. K., 13 Sept 2023.Research output: Contribution to conference › Presentation › Research › peer-review
- E-pub ahead of print
Optimization of the Two- and Three-DimensionalCharacterization of Rare Earth-Traced Deoxidation Products
Thiele, K., Musi, R., Ramesh Babu, S. & Michelic, S. K., 15 Feb 2023, (E-pub ahead of print) In: Advanced engineering materials. 25.2023, 11, 12 p., 2201748.Research output: Contribution to journal › Article › Research › peer-review
- Published
Influence of Different Hyperparameter Settings and Data Preprocessing Methods on the Classification of Nonmetallic Inclusions with Machine Learning Algorithms
Musi, R., 2023Research output: Thesis › Master's Thesis
- 2022
- Published
Classification of non-metallic inclusions in steel by data-driven machine learning methods
Ramesh Babu, S., Musi, R., Thiele, K. & Michelic, S. K., 29 Sept 2022, In: Steel research international. 2022, September, 19 p.Research output: Contribution to journal › Article › Research › peer-review