The surface transport industries are under enormous pressure because, the world leaders
have emphasized the requirement to restrict global warming to 1.5° Celsius in United …

The automotive industry is facing a crucial time. The transformation from internal combustion
engines to new electrical technologies requires enormous investment, and hence the IC …

Abstract Deep learning (DL), Artificial Neural Network (ANN), Kernel Nearest Neighbor (k-
NN), and Support Vector Machine (SVM) have been applied to numerous fields owing to …

In this research work, performance and emission parameters of wheat germ oil (WGO)-
hydrogen dual fuel was investigated experimentally and these parameters were predicted …

This paper deals with artificial neural network (ANN) modelling of a diesel engine using
cottonseed methyl-ester (CME) to predict brake specific fuel consumption (BSFC), maximum …

In this paper, an alternative method to predict the noise of a submersible Axial Piston Pump
(APP) for different valve seat materials is presented. The proposed method is composed of …

Most of the studies on conventional fuel types that can be used in internal combustion
engines have been made in order to improve performance values. Nowadays environmental …

With the continuous progress of science and technology, the mechanical field is also
constantly upgrading from traditional mechanical engineering to the mechatronics …

A series of tests were carried out to assess the environmental effects of biodiesel blends
made of different vegetable oil, such as corn, sunflower, and palm, on exhaust and noise …

In this study, the cyclic of a spark ignition engine using octane fuel is modeled using extreme
learning machine, an emergent technology related to single-hidden layer feedforward …