This paper provides a detailed review of a digital thread for composite aerospace
components. The current state of the digital thread continues to progress and at an ever …

Due to emerging data-driven approaches in factory automation in the course of Industry 4.0,
automated Production Systems must incorporate additional algorithms for data collection …

The growing popularity of edge computing goes hand in hand with the widespread use of
systems based on artificial intelligence. There are many different technologies used to …

In the rapidly evolving field of Artificial Intelligence (AI), its application in industrial settings,
particularly for anomaly detection in time series data, poses unique challenges. Current …

In the Internet of Things (IoT) field, cloud and fog computing dramatically increase the
complexity of floating-point (FP) calculations. Cost-constrained microcontrollers (MCUs) …

Federated Learning (FL) is a decentralized machine learning approach where local models
are trained on distributed clients, allowing privacy-preserving collaboration by sharing …

Gear condition monitoring can prevent unexpected downtimes or sudden failure of
machinery. Since gear damage usually results from tooth contact, data for reliable fault …

Mobile and stationary mechatronic systems are often driven by hydraulic actuators which are
controlled using valves. Hydraulic systems have a high power density, are robust and cost …

This paper provides a detailed review of a digital thread for composite aerospace
components. The current state of the digital thread continues to progress and at an ever …