A Russian mathematician has developed a new method for analyzing a class of equations that underpin models in physics and ...

Abstract: Whereas on many motorways, traffic operations are permanently monitored, and long historical logs of such data exist, they are not directly usable for lane change studies, as they only ...

Abstract: In recent years, Vision Transformers (ViTs) have outperformed Convolutional Neural Networks (CNNs) in accuracy on computer vision tasks. However, deploying ViT models on edge neural ...

Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This paper explores the use ...