An Architecture for Adaptive Machine Learning Models using Adversarial and Transfer Learning
Abstract Machine Learning and especially deep neural networks are more and more used in
industrial applications, because they offer new possibilities to gain knowledge from the …
industrial applications, because they offer new possibilities to gain knowledge from the …
Detection and Classification of Robotic Manipulator Anomalies Using MLSTM-FCN Models
Y Ma, P Grimmeisen, A Morozov - ASME …, 2022 - asmedigitalcollection.asme.org
Errors and failures occur inevitably in modern Cyber-Physical Systems (CPS) due to their
structural variability and internal heterogeneity. This can cause economic losses or even …
structural variability and internal heterogeneity. This can cause economic losses or even …