Sand cat swarm optimization algorithm (SCSO) keeps a potent and straightforward meta-
heuristic algorithm derived from the distant sense of hearing of sand cats, which shows …

In recent times, medical industry faces adverse issue in terms of protecting the medical
records of people all over the world. In remote areas, in case of severe health issues, if they …

This study aims to provide price predictions for automotive steel materials using machine
learning (ML) methods to develop purchasing strategies with business theories. The primary …

Granular Computing has been successfully applied in many fields to assist modeling while
uncertainty exists due to its intrinsic flexibility and comprehensive evaluation on different …

This study develops a method to predict and compensate for thermal deformation in
machine tools, focusing on selecting temperature-sensitive points, establishing a predictive …

Falling nets are a type of fishing gear that appeared and developed rapidly in the northern of
South China Sea in the early 1990s. We have developed Light-emitting diode (LED) fishing …

The flexible job shop scheduling, as the most typical production mode in industrial
manufacturing, aims to improve production efficiency. However, the proposal of energy …

With the growing complexity of data structures, which include high-dimensional and
multilabel datasets, the significance of feature selection has become more emphasized …

Financial distress identification remains an essential topic in the scientific literature due to its
importance for society and the economy. The advancements in information technology and …

The use of mobile devices has contributed greatly to the expansion of Human Activity
Recognition (HAR) studies in recent years. Researchers find it attractive because of its …