Advancing methods for modeling combustion systems and optimizing their operations is
beneficial to improve the combustion performance. This paper develops a deep data-driven …

This paper proposes a method, namely MDKS (Kennard-Stone algorithm based on
Mahalanobis distance), to divide the data into training and testing subsets for develo** …

Knowing the properties of coal, which is still the most widely used among primary energy
sources, is critical for determining the application area and the technology to be applied. The …

Leukaemia is a cancer of blood that causes more death than any other cancers among
children and young adults under the age of 20. This disease can be cured if it is detected …

The elemental composition of coal is essential for analysing the overall process of energy
conversion systems. Simultaneous information regarding the elemental composition of coal …

The identification of the authenticity of edible vegetable oils is important from both consumer
health and commercial aspect. Fourier transform infrared spectroscopy combined with …

A molecularly imprinted polymer (MIP) sensor was prepared applying electropolymerization
of pyrrole monomer in the presence of celecoxib (CXB) as a template molecule on a pencil …

Dendrobium is the largest genus of orchids most of which have excellent medicinal
properties. Fresh stems of some species have been consumed in daily life by Asians for …

In order to provide adequate engineering assistance and to improve the energy efficiency in
process industries, it is crucial to evaluate the operational performance of a boiler in terms of …

A feature-weighted neural network model for the prediction of the endpoint temperature of
molten steel (MSET) in a ladle furnace (LF) is proposed in this paper. Accurate prediction of …