Citation Impact
Citing Papers
Machine learning and artificial intelligence in CNC machine tools, A review
2023
Digital Twin: Benefits, use cases, challenges, and opportunities
2023 Standout
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics
2021
Digital Twin in smart manufacturing: remote control and virtual machining using VR and AR technologies
2022
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
Works of Daniel Schraknepper being referenced
The Concept of Digital Twin and Digital Shadow in Manufacturing
2021
Investigations on the Application of the Downhill-Simplex-Algorithm to the Inverse Determination of Material Model Parameters for FE-Machining Simulations
2020
A hybrid approach using machine learning to predict the cutting forces under consideration of the tool wear
2019