Identifying the areas susceptible to dust storm formation is one effective way of dealing with
this destructive environmental phenomenon. This study is the first attempt to employ the …

Crime is the intentional commission of an act usually suspected as socially detrimental and
specifically defined, forbidden, and punishable under criminal law. Developing a society that …

Introduction: Due to the lack of labeled data, applying predictive maintenance algorithms for
facility management is cumbersome. Most companies are unwilling to share data or do not …

This study endeavors to enhance the comprehension of damage mechanism in airport
cement pavements, analyzing patterns to pinpoint strategies that extend the service life of …

The integration of educational data mining and deep neural networks, along with the
adoption of the Apriori algorithm for generating association rules, focuses to resolve the …

Developing a model of association rules with machine learning in determining user habits
on social media The object of the research is the habits of social media users. The problem …

The urbanization and industrialization of human society boost the socioeconomic growth but
yet inevitably result in unprecedented damages to environment and organisms. One of the …

In this study, we analyzed social media conversations during the unfolding of the FTX crisis,
the biggest cryptocurrency scandal in United States history. Drawing on the accessibility …

The source marker species represent the emission source in the ambient air. It aids in
identifying specific emission sources, but it can deliver ambiguous results when similar …

Nowadays, social networks have taken on an irreplaceable role as sources of information.
Millions of people use them daily to find out about the issues of the moment. This success …