In this paper, a neural network based inverse model is presented that can predict the values of the geometrical, physical, and material parameters of a given transmission line network from its ...

This paper presents an approach for modeling driver lane change behavior using inverse reinforcement learning (IRL). The driver behaviors are assumed to be the solution of an optimal control problem ...

I developed 2 machine learning software that predict and classify ozone day and non-ozone day. The working principle of the two is similar but there are differences. I got the dataset from ics.icu.