Machine learning (ML) applications face many new, hardly predictable aspects in their
production environments. Detecting new aspects in an ML production environment and …

Quorum Sensing (QS) and Machine Learning (ML) hybrid systems represent a
groundbreaking innovation in synthetic biology, offering unprecedented control and …

Machine learning (ML) is finding its way into safety-critical systems (SCS). Current safety
standards and practice were not designed to cope with ML techniques, and it is difficult to be …

In the continually evolving field of autonomous driving, enhancing model prediction
accuracy and addressing noisy data remain pivotal challenges. This study introduces …