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2020 – today
- 2024
[c6]Shailesh Tripathi, Wolfgang Seiringer, Sonja Strasser, Herbert Jodlbauer:
Comparison of Community Detection Algorithms for Reducing Variant Diversity in Production. APMS (5) 2024: 412-427- 2021
- [c5]Shailesh Tripathi, Sonja Strasser
, Herbert Jodlbauer:
A Network based Approach for Reducing Variant Diversity in Production Planning and Control. DATA 2021: 241-251
2010 – 2019
- 2019
- [j2]Herbert Jodlbauer, Sonja Strasser:
Capacity-driven production planning. Comput. Ind. 113 (2019) - [c4]Shailesh Tripathi, Sonja Strasser, Christian Mittermayr, Matthias Dehmer, Herbert Jodlbauer:
Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM. DATA 2019: 233-242 - 2018
- [j1]Herbert Jodlbauer, Matthias Dehmer, Sonja Strasser:
A hybrid binomial inverse hypergeometric probability distribution: Theory and applications. Appl. Math. Comput. 338: 44-54 (2018) - [c3]Sonja Strasser, Shailesh Tripathi, Richard Kerschbaumer:
An Approach for Adaptive Parameter Setting in Manufacturing Processes. DATA 2018: 24-32 - [c2]Sonja Strasser, Jan Zenisek, Shailesh Tripathi, Lukas Schimpelsberger, Herbert Jodlbauer:
Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes. DATA (Revised Selected Papers) 2018: 50-68 - 2017
- [c1]Sonja Strasser, Andreas Josef Peirleitner:
Reducing Variant Diversity by Clustering - Data Pre-processing for Discrete Event Simulation Models. DATA 2017: 141-148
Coauthor Index
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