Abstract: This paper provides a unique approach with AI algorithms to predict emerging stock markets volatility. Traditionally, stock volatility is derived from historical volatility, Monte Carlo ...

The final, formatted version of the article will be published soon. This study proposes an intelligent back-calculation framework for accurately estimating the elastic moduli of multilayer pavements ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Abstract: In network measurement, learning-based sketch is a hot topic recently, which combines traditional sketches with machine learning techniques to improve the accuracy of sketches, while ...