Abstract: In this letter, a machine learning-based algorithm, K-nearest neighbor, is employed to predict the actual patterns of the linear arrays with arbitrary positions and varied element numbers.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: This communication introduces a new approach to achieve symmetrical array patterns using only phase adjustments in a Chebyshev-phase framework, employing a particle swarm optimization (PSO) ...

From embroidered textiles to stone mosaics, consider one of these dashing pieces for a linear look.