Green buildings (GB) have been widely promoted in various nations. However, the post
occupancy evaluation suggests many GB cannot well fulfill the expected targets. To …

Environmental concerns over automotive exhaust emissions and consumer demand for
higher fuel efficiency have led to the development of low-temperature combustion concepts …

In relative to traditional combustion, the reactivity-controlled compression ignition (RCCI)
technique using fuels with different reactivity has gained significant interest because of its …

This research proposed a multi-objective optimization approach that combines Non-
dominated Sorting Genetic Algorithms (NSGA) Ⅲ and support vector machine (SVM) to …

Abstract Machine learning method provides a promising way to predict the transient
emission characteristic of diesel engine due to its many advantages such as short …

This study investigated the novel method of ammonia use in a light-duty automotive diesel
engine. An emulsification technique and ammonia solution are combined and adopted to …

Air bearings are commonly used in systems requiring high precision, including
semiconductor manufacturing, optical and electronic devices, and aerospace systems, and …

In order to predict the transient emission characteristics from diesel engine accurately and
quickly, a novel prediction model, based on temporal convolutional networks (TCN) that …

In the current work, as the first phase, the main emphasis deals with the experimental study
of the performance characteristics (effective power P eff and exhaust gas temperature T exh) …

This study mathematically inspects the effects of engine speed/load and biodiesel–hydrogen
fuel blend composition on CO 2, CO, and NO x emissions. Since this modeling task requires …