Abstract: Fast optimization of arbitrary-shaped antennas is enabled by a neural network model, trained by a method of moments (MoM) framework capable of evaluating large sets of pixel-based antenna ...

Moving heavy materials through cutting, polishing and coating stages requires precise balancing of load capacity and motion speed. Here’s how the right linear guidance selection and configuration can ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Abstract: This paper presents a gradient-based optimization approach to solve optimal control problems in linear quantum systems. Utilizing an algebraic Lyapunov equation, we derive the partial ...