Crime is always one of the most important social problems, and it poses a great threat to
public security and people. Accurate crime prediction can help the government, police, and …

One of the pillars on which food traceability systems are based is the unique identification
and recording of products and batches along the supply chain. Patterns of these …

The fuzzy rule-based classification system (FRBCS) is a popular tool for classification
problems due to its interpretability and comprehensibility. As an extension of fuzzy numbers …

Crime is a significant issue in society, with the causes of crime needing more attention and
action from social, governmental, and judicial entities. Investigating crimes can be …

The video surveillance technology is used to find crime events in public places and capture
live public events. Hence, detecting the criminalist before the crime actions is the most …

Crime prediction models are very useful for the police force to prevent crimes from
happening and to reduce the crime rate of the city. Existing crime prediction models are not …

Crime prediction is crucial for sustainable urban development and protecting citizens' quality
of life. However, there exist some challenges in this regard. First, the spatio-temporal …

This study investigates patterns and trends in criminal activities by employing association
rule mining on a comprehensive dataset of 1,975 criminal cases from the Ternopil region of …

With the aim of improving security in cities and reducing the number of crimes, this research
proposes an algorithm that combines artificial intelligence (AI) and machine learning (ML) …

Crime is hard to anticipate since it occurs at random and can occur anywhere at any
moment, making it a difficult issue for any society to address. By analyzing and comparing …