Abstract Diesel Oxidation Catalyst (DOC) is an effective device to reduce engine emissions.
To improve the oxidation performance of HCs, NO x and CO, a 3D simulation model of …

Multi-physics modelling of the Solid Oxide Fuel Cell (SOFC) stack requires significant
computational resources. Design optimization of large-scale stacks and stack towers has …

The existing neural network model in urban land-subsidence prediction is over-reliant on
historical subsidence data. It cannot accurately capture or predict the fluctuation in the …

In this paper, we develop a novel ensemble model for seismic building damage prediction
that leverages machine learning algorithms of two completely different mechanisms, tree …

The support vector machine along with particle swarm optimization and artificial neural
network have already been implemented for the regression study of a hydrogen enriched …

To realize resource utilization of waste and alleviate associated environmental pollution, the
pyrolysis behaviour of pine sawdust (PS), cattle dung (CD), kidney bean stalk (KS) and …

With recent advancements in space technology, there is a need to develop technologies to
ensure a sustainable environment for human survival. Among these, treatment of human …

The effectiveness of deep learning in completing tasks comprehensively has led to a rapid
increase in its usage. Deep learning encompasses numerous diverse methods, each with its …

Abstract Diesel Particulate Filter (DPF) stands out as a highly effective device for mitigating
emissions in engines. To enhance DPF regeneration performance, the numerical model and …

Internal combustion (IC) engines serve as power devices that are widely applied in the fields
of transport, engineering machinery, stationary power generation, etc., and are evolving …