Another burgeoning use case is the identification of emerging issues within large operational datasets, Machine Learning (ML ... and then create the necessary training, development and test ...

eventually achieving balance. The twist here is that rather than a simple PID loop or another control algorithm, [Astrid] chose to apply machine learning to the problem using the Q-Behave library.

Traditional methods to assess balance often suffer from ... acted as the ground truth labels for model training and validation. Multiple machine-learning models were then developed to estimate ...