Psychological distress is a major contributor to human physiology and pathophysiology, and
it has been linked to several conditions, such as auto-immune diseases, metabolic …

To reduce the environmental impact of construction and demolition waste of concrete,
recycled concrete aggregate (RCA) has been widely utilized in concrete. The compressive …

Collaborative prediction model of gas emission quantity was built by feature selection and
supervised machine learning algorithm to improve the scientific and accurate prediction of …

In recent years, the Extreme Learning Machine (ELM) has been hybridized with the Particle
Swarm Optimization (PSO) and such hybridization is called PSO-ELM. In most of these …

Cloud manufacturing (CM) is a new type of networked manufacturing model, which is
proposed in 2010. Optimization technology is one of the key techniques for CM operation …

The degradation of concrete structure in the marine environment is often related to chloride-
induced corrosion of reinforcement steel. Therefore, the chloride concentration in concrete is …

Training optimization plays a vital role in the development of convolution neural network
(CNN). CNNs are hard to train because of the presence of multiple local minima. The …

Training of the convolution neural network (CNN) is a problem of global optimisation. This
study proposed a hybrid modified particle swarm optimisation (MPSO) and conjugate …

It is difficult to solve the problem that the cement sheath of oil and gas wells is corroded by
acid gas, and the change in compressive strength (CS) of the cement sheath after corrosion …

This methodological article is mainly aimed at establishing a bridge between classification
and regression tasks, in a frame shaped by performance evaluation. More specifically, a …