We investigate the complexity and performance of recurrent neural network (RNN) models as post-processing units for the compensation of fibre nonlinearities in digital coherent systems carrying ...

These open-world games could have benefited from offering a more streamlined experience that focused on the core characters ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

This brief presents the implementation and experimental results of two frameworks for multi-agent systems under temporal logic tasks, which we have recently proposed. Each agent is subject to either a ...