Application of machine learning (ML) to the prediction of reaction activation barriers is a new
and exciting field for these algorithms. The works covered here are specifically those in …

With the increase in global car ownership, the demand for traffic safety is very strong.
Research shows that drivers account for more than 90% of global traffic accidents …

Automation has touched all the segments of the vehicle manufacturing industry, which has
led to an era where our transportation system is getting smarter day by day. The automated …

Stock prices, as an economic indicator, reflect changes in economic development and
market conditions. Traditional stock price prediction models often only consider time-series …

News concerning autonomous cars are becoming more and more common today. There are
recordings of vehicles in self-driving mode having an accident as well as footages in which …

Intelligent data aggregation approaches and technologies play an important and increasing
role in practice due to the widespread adoption of mobile devices in many applications …

Measuring financial performance has become an essential topic due to the potential
decimating impacts on the corporation itself as well as to whole societies during financial …

The macro influencing factors analysis of urban traffic safety is important to guide the
direction of urban development to reduce the frequency of traffic accidents. In this study, a …

In the area of autonomous vehicle, object classification is an important task. Different
classification algorithms are available. In this work, we have focused on different kernels of …