The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …

The modelling of machining processes by means of machine-learning algorithms is still
based on principles that are especially adapted to mechanical approaches, in which very …

Accurate wind power forecasting plays an increasingly significant role in power grid normal
operation with large-scale wind energy. The precise and stable forecasting of wind power …

Introduction The top priority in drug development is to identify novel and effective drug
targets. In vitro assays are frequently used for this purpose; however, traditional …

AISI 904L is a super-austenitic stainless steel that is remarkable for its mechanical
properties and high corrosion resistance, which strictly depend on its chemical composition …

Concrete-filled steel tube (CFST) columns are widely used in the construction industry.
Prediction of the ultimate bearing capacity of CFST columns is complicated because it is …

Soil colloids have been shown to play a critical role in soil phosphorus (P) mobility and
transport. However, identifying the potential mechanisms behind colloidal P (P coll) release …

Coal gangue recognition of top coal caving is one of the important links in the process of
intelligent coal mine construction. However, the recognition accuracy of this technology in …

Using computational intelligence for prediction, modeling, and optimization of chemical
process behavior could save costs and time. This study's main goal was to predict and …

Establishing and controlling the prediction model of a machined surface quality is known as
the basis for sustainable manufacturing. An ensemble learning algorithm—the gradient …