The advent of pre-trained language models has directed a new era of Natural Language
Processing (NLP), enabling us to create powerful language models. Among these models …

As a typical production model in manufacturing industry, Flexible Job-shop Scheduling
Problem (FJSP) has an important impact on enhancing the productivity of enterprises …

E-learning platforms are essential tools used widely for teaching and learning English,
especially since the COVID-19 pandemic. They are also used to communicate and interact …

The complexity of chemical plant systems (CPS) makes optimising their design and
operation challenging tasks. This complexity also results in analytical and numerical …

Course recommendation technology plays a key role in online learning services. However,
there are still two key issues that remain unresolved in practice. First, it is difficult to …

Predicting defects and knowing the network conditions are important issues in distribution
system operation. A comprehensive defect warning system considering different internal and …

Various problems worldwide are caused by illegal production and distribution of timber,
such as deception about timber species and origin and illegal logging. Numerous studies on …

Abstract Machine learning is the study of computer algorithms that can automatically
improve based on data and experience. Machine learning algorithms build a model from …

Employee attrition is one of the most significant business issues in human resource (HR)
analytics. This research aims to identify the most critical elements that contribute to …

Spinel ferrite recently attracted attention for possible application in magnetic refrigeration
due to its noticeable high magnetocaloric effect and tunable magnetic ordering temperature …