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Books and Theses
- 2024
[b1]Lukas Krupp:
Remaining Machining Tool Life Prediction Using Machine Learning. Essen University, Germany, 2024
Journal Articles
- 2024
- [j2]Lars Wulfert
, Johannes Kühnel, Lukas Krupp, Justus Viga, Christian Wiede, Pierre Gembaczka, Anton Grabmaier:
AIfES: A Next-Generation Edge AI Framework. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4519-4533 (2024) - 2023
- [j1]Lukas Krupp, Christian Wiede, Joachim Friedhoff, Anton Grabmaier:
Explainable Remaining Tool Life Prediction for Individualized Production Using Automated Machine Learning. Sensors 23(20): 8523 (2023)
Conference and Workshop Papers
- 2023
- [c4]Ingo Hoyer, Oscar Berg, Lukas Krupp, Alexander Utz, Christian Wiede, Karsten Seidl:
Hardware Accelerators for a Convolutional Neural Network in Condition Monitoring of CNC Machines. SENSORS 2023: 1-4 - [c3]Lukas Krupp, Christian Wiede, Joachim Friedhoff, Anton Grabmaier:
A Cognitive Sensor System Architecture for the Monitoring of Flexible Machining Systems. SENSORS 2023: 1-4 - 2022
- [c2]Lukas Krupp, Christian Wiede, Anton Grabmaier:
Approximate Fast Fourier Transform-based Preprocessing for Edge AI. ETFA 2022: 1-8 - 2020
- [c1]Lukas Krupp, Andreas Hennig, Christian Wiede, Anton Grabmaier:
A Hybrid Framework for Bearing Fault Diagnosis using Physics-guided Neural Networks. ICECS 2020: 1-2
Coauthor Index
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