Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, ...

About hCNN: Hybrid Neural Network (Hybrid-NN), a MATLAB NN toolbox that supports complex valued data and insertion of Signal Processing Modules.

Objective: This study aimed to investigate the differences in eye movement characteristics between first reading and rereading and to develop a neural network model for classifying these reading ...

In multi-antenna transmitters, antenna coupling may lead to load modulation of the PAs, making their nonlinear responses beam-dependent and compromising traditional digital predistortion solutions.

Sparse antenna arrays are widely used in automotive radar systems to achieve high angular resolution with reduced hardware complexity and mutual coupling. However, the high sidelobes inherent in ...

A hybrid approach to AI is powering Amazon’s Rufus shopping assistant and cutting-edge warehouse robots.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...