The go-around is a safety-critical procedure in civil aviation that is rarely executed but is
essential to avoid risky landings. Analyzing the factors that trigger go-around events can aid …

Hyperparameters play a critical role in analyzing predictive performance in machine
learning models. They serve to strike a balance between overfitting and underfitting of …

Understanding the various roles and their corresponding evolving patterns is essential for
evaluating the health of learning communities, such as in Asynchronous Online Discussion …

This study delves into the realm of Explainable Artificial Intelligence (XAI) frameworks,
aiming to empower researchers and practitioners with a deeper understanding of these …

The use of predictive models in education promises individual support and personalization
for students. To develop trustworthy models, we need to understand what factors and causes …

The short-term rockburst prediction in underground engineering plays a significant role in
the safety of the workers and equipment. Due to the complex link between microseismicity …

Aims The aim of this study was to use explainable boosting machine (EBM) to evaluate the
predictive value of HDL-2b and HDL-3 levels in comparison with traditional lipid parameters …

Formal software testing education is important for building efficient QA professionals.
Various aspects of quality assurance approaches are usually covered in courses for training …

The use of predictive models in education promises individual support and personalization
for students. To develop trustworthy models, we need to understand what factors and causes …

In billiards competition and training, the stability of a player's shot is a critical factor
influencing match outcomes and individual skill development. This study employs the …