Crimes prediction is one of the most important topics in recent years that aim to protect
people's lives. These analytical studies for criminal hotspots are frequently demanded by …

Timely identification of terrorist networks within civilian populations could assist security and
intelligence personnel to disrupt and dismantle potential terrorist activities. Finding “small” …

The fight against crime is often an arduous task overall when huge amounts of data have to
be inspected, as is currently the case when it comes for example in the detection of criminal …

Internal misconduct is a universal problem in prisons and affects the maintenance of social
order. Consequently, correctional institutions often develop rehabilitation programs to …

Nowadays, artificial intelligence is widely used in various fields and industries. Cybercrime
is a concern of these days, and artificial intelligence is used to detect this type of crime …

In this paper, we introduce two types of hybridization. The first contribution is the
hybridization between the Viterbi algorithm and Baum Welch in order to predict crime …

In recent decades, crime has become an issue of great concern to nations, which is why
there is significant progress in the development of investigations in different areas. The …

This paper presents the novel work of digitally linking the crime theories being worked for
many years by sociologists to the data record of criminals. The proposed methodology …

In contemporary society, public space security and safety are of utmost significance. The
theft of wallets, a frequent type of street crime, puts people's personal items at risk and may …

Desde diciembre de 2019 cuando se identificó el primer caso, la pandemia de COVID-19
ocasionada por el virus SARS-CoV-2​ ha generado efectos devastadores en prácticamente …