In automotive applications, artificial neural network (ANN) is now considered as a favorable
prediction tool. Since it does not need an understanding of the system or its underlying …

The fast rate of depletion of fossil fuel resources due to increasing demands and the adverse
environmental impact by the automotive engines forced researchers to develop alternative …

Power grids are transforming into flexible, smart, and cooperative systems with greater
dissemination of distributed energy resources, advanced metering infrastructure, and …

Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …

Due to the intermittency and uncertainty in photovoltaic (PV) power outputs, not only
deterministic point predictions (DPPs), but also associated prediction Intervals (PIs) are …

In order to develop higher performance Atkinson cycle gasoline engine and explore its fuel-
saving potential on series hybrid electric vehicles, this study is pioneered in digital twins by …

The tunnel boring machine (TBM) is an important and common construction method for
urban subways, and it requires a detailed and rational control strategy to ensure the safety …

The ignition delay prediction model of three-component surrogates was established based
on the back propagation (BP) neural network. The ambient temperature, ambient pressure …

Accurately predicting the remaining useful life (RUL) of lithium-ion batteries in early-cycle
stage can speed up the battery improvement and optimization. However, slowly varying and …

In this study, the combustion, performance, and emission results of the HCCI engine under
different fuel and engine parameters conditions were examined experimentally and …