In the present study, a new combination of different available engine sensors along with an
exhaust gas temperature sensor is used as the input of an artificial neural network to …

Computational workflows are a common class of application on supercomputers, yet the
loosely coupled and heterogeneous nature of workflows often fails to take full advantage of …

This study presents a novel method based on the convolutional neural network to evaluate
knock probability. In this way, lots of data sets are extracted from the real driving conditions …

This work presents an advanced computer-aided molecular design framework by
considering the molecular structure of fuels as the fundamental design degree of freedom …

The automotive sector is one of the top energy consumers globally compared with any other
sector where oil plays the main role. According to statista. com (an online platform that …

The incorporation of alternative fuels in the automotive domain has brought a new paradigm
to tackle the environmental and energy crises. Therefore, it is of interest to test and forecast …

The use of artificial intelligence in different parts of human life is becoming inevitable and it
is expected that in the near future, the range of artificial intelligence applications will include …