The IEEE I²MTC – International Instrumentation and Measurement Technology Conference – is the flagship conference of the IEEE Instrumentation and Measurement Society and is dedicated to advances in measurement methodologies, measurement systems, instrumentation and sensors in all areas of science and technology.

LMT has presented three contributions at this conference, all with a focus on machine learning for smart sensors from our DESS group:

• C. Schnur, Y. Robin, P. Goodarzi, T. Dorst, A. Schütze, T. Schneider:
  Development of a bearing test-bed for acquiring data for robust and transferable machine learning
• P. Goodarzi, S. Klein, A. Schütze, T. Schneider:
  Comparing Different Feature Extraction Methods in Condition Monitoring Applications
• Y. Robin, J. Amann, P. Goodarzi, T. Schneider, A. Schütze, C. Bur:
  Comparison of Explainable Machine Learning Algorithms for Optimization of Virtual Gas Sensor Arrays