Background The COVID-19 pandemic is a significant public health crisis that is hitting hard
on people's health, well-being, and freedom of movement, and affecting the global economy …

Safety management in hoisting is the key issue to determine the development of
prefabricated building construction. However, the security management in the hoisting stage …

In the context of big data, scientific judgment of the future trend or state of unsafe acts of air
traffic controllers (ATCers) plays an important role in the prevention of unsafe incidents …

The magnitude of the daily explosion of high volumes of data has led to the emergence of
the Big Data paradigm. The ever-increasing amount of information available on the Internet …

The vast amounts of mobile communication data collected by mobile operators can provide
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …

This paper reviews the development of South Korea's national research and development
(R&D) in graphene technology, focusing on projects that have been classified as “green” …

Traditional association rule mining algorithms can have a long runtime, high memory
consumption, and generate a huge number of rules. Browsing through numerous rules and …

The success of arrhythmia classification tasks with Machine Learning (ML) algorithms is
based on the handcrafting extraction of features from Electrocardiography (ECG) signals …

Association rule mining (ARM) is a data mining technique for identifying frequently occurring
item groupings in transactional datasets. The frequent item recognition and ARM …

Background and aims To assess the hospitalized sick children admitted to the pediatric
emergency department (ED) and to find new patterns of clinical and laboratory attributes …