The security of a community is its topmost priority; hence, governments must take proper
actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in …

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

Predicting crimes before they occur can save lives and losses of property. With the help of
machine learning, many researchers have studied predicting crimes extensively. In this …

The practice of crime risk mapping, enabled by the utilization of geospatial big data such as
street view images, has received significant research attention. However, in situations where …

In this paper, the authors propose a data-driven approach to draw insightful knowledge from
the Indian crime data. The proposed approach can be helpful for police and other law …

Forecasting crime is complex since several complicated aspects contribute to a crime.
Predicting crime becomes more challenging because of the enormous number of everyday …

The exacerbation of high crime rate has become a critical impediment to the country's
economy, therefore necessitating the involvement of data analysts and scientists in …

In today's world, security is the most prominent aspect which has been given higher priority.
Despite the rapid growth and usage of digital devices, lucrative measurement of crimes in …

Crimes are problematic where normal social issues are confronted and influence personal
satisfaction, financial development, and quality-of-life of a region. There has been a surge in …

This research will focus on machine learning algorithms for crime forecasting. In the modern
world, crime is becoming a major and complex problem. In this research, we discover the …