Predicting crime using machine learning and deep learning techniques has gained
considerable attention from researchers in recent years, focusing on identifying patterns and …

Crime event analysis (CEA) has become increasingly important in assisting humans in
preventing future crimes. A fundamental challenge in the research community lies in the …

This study introduces a novel model designed to classify macrocauses of violent crimes. The
model's practical application is demonstrated through its integration into the framework of …

In recent years, predicting crime for a particular region using Machine Learning (ML) has
gained much attention. We applied algorithms to categorize crime types and examine the …

One of the most important and concerning aspects of our society is crime. Countless crimes
are committed daily, and as a result, the lives of all individuals are becoming increasingly …

In numerous cities, crime has become a chief concern that leads to the rising demand for
timely predicting citywide crime occurrence. Therefore, this paper proposes an efficient …

Crime prevention is a key concern in modern society, with significant implications for public
safety and informed law enforcement decision-making. An innovative approach in this …

L'activité criminelle en France a connu une évolution significative au cours des deux
dernières décennies, marquée par la recrudescence des actes de malveillance, notamment …