B. Lindemann

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges

Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City

A survey on long short-term memory networks for time series prediction

Enhancing an Intelligent Digital Twin with a Self-organized Reconfiguration Management based on Adaptive Process Models