Measurement systems and sensors with cognitive features II
-
Klaus-Dieter Sommer
Klaus-Dieter Sommer is an Honorary Professor at the Technische Universität Ilmenau, the Technische Universität Braunschweig, and the Friedrich-Alexander University of Erlangen-Nuremberg.
,
Michael Heizmann
Michael Heizmann is a Full Professor of Mechatronic Measurement Systems and Director of the Institute of Industrial Information Technology, Karlsruhe Institute of Technology. His research interests include measurement and automation technology, and their applications. He is Chairperson of the VDI-VDE-GMA Expert Advisory Board “Methods of Measurement and Sensor Technology” and member of the Steering Committee of the VDI-VDE-GMA.
Andreas Schütze received his diploma in physics from RWTH Aachen in 1990 and his doctorate in Applied Physics from Justus-Liebig-Universität in Gießen in 1994 with a thesis on microsensors and sensor systems for the detection of reducing and oxidizing gases. From 1994 until 1998 he worked for VDI/VDE-IT, Teltow, Germany, mainly in the fields of microsystems technology. From 1998 until 2000 he was professor for Sensors and Microsystem Technology at the University of Applied Sciences in Krefeld, Germany. Since April 2000 he is professor for Measurement Technology in the Department of Mechatronics at Saarland University, Saarbrücken, Germany and head of the Laboratory for Measurement Technology (LMT). His research interests include microsensors and microsystems, especially intelligent gas sensor systems for security applications.
© 2023 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Editorial
- Measurement systems and sensors with cognitive features II
- Research Articles
- Uncertainty-aware automated machine learning toolbox
- Explainable AI for sensor-based sorting systems
- Review Article
- Perspectives on AI-driven systems for multiple sensor data fusion
- Research Articles
- A collection of machine learning assisted distributed fiber optic sensors for infrastructure monitoring
- Automated end-of-line quality assurance with visual inspection and convolutional neural networks
- Review Article
- Automotive mass production of camera systems: Linking image quality to AI performance
Artikel in diesem Heft
- Frontmatter
- Editorial
- Measurement systems and sensors with cognitive features II
- Research Articles
- Uncertainty-aware automated machine learning toolbox
- Explainable AI for sensor-based sorting systems
- Review Article
- Perspectives on AI-driven systems for multiple sensor data fusion
- Research Articles
- A collection of machine learning assisted distributed fiber optic sensors for infrastructure monitoring
- Automated end-of-line quality assurance with visual inspection and convolutional neural networks
- Review Article
- Automotive mass production of camera systems: Linking image quality to AI performance
