3 papers
eess.SP2026
A Case Study on Energy-Efficient Edge AI Crack Segmentation
Matthias Tschope, Mohamed Moursi, Vladimir Rybalkin +3
Crack segmentation on edge devices can support continuous infrastructure monitoring and maintenance and thereby help to preserve public safety. Furthermore, autonomous infrastructu…
cs.AR2026
Security Risks in Machining Process Monitoring: Sequence-to-Sequence Learning for Reconstruction of CNC Axis Positions
Lukas Krupp, Rickmar Stahlschmidt, Norbert Wehn
Accelerometer-based process monitoring is widely deployed in modern machining systems. When mounted on moving machine components, such sensors implicitly capture kinematic informat…
quant-ph2025
No Scratch Quantum Computing by Reducing Qubit Overhead for Efficient Arithmetics
Omid Faizy, Norbert Wehn, Paul Lukowicz +1
Quantum arithmetic computation requires a substantial number of scratch qubits to stay reversible. These operations necessitate qubit and gate resources equivalent to those needed…