Multivariate time series forecasting faces the fundamental challenge of modeling complex temporal dependencies while capturing cross-variable relationships, especially in real-world applications where ...

The efficiency of beampattern synthesis for large-scale time-modulated arrays (TMAs) heavily relies on the performance of various optimization algorithms. In this article, an artificial neural network ...