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 …

Smart policing refers to the use of advanced technologies such as artificial intelligence to
enhance policing activities in terms of crime prevention or crime reduction. Artificial …

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 …

Increasing crime rates and evolving challenges in law enforcement have raised the need for
innovative solutions, leading to the emergence of smart policing. This paradigm shift …

Criminology and crime analysis are growing areas of research dealing with huge amount of
past crime reports. Classification analysis identifies the crime patterns among the reports …

Crime detection is one of the most important research applications in machine learning.
Identifying and reducing crime rates is crucial to develo** a healthy society. Big Data …

The objective of crime prediction, one of the most important technologies in social
computing, is to extract useful information from many existing criminal records to predict the …

This survey paper presents a comprehensive analysis of crime prediction methodologies,
exploring the various techniques and technologies utilized in this area. The paper covers the …

In the face of rapidly increasing crime rates, the evolving complexity of crime data
processing, and public safety challenges, the need for more advanced policing solutions …

The existing research on security risk often focuses on specific types of crime, overlooking
an integrated assessment of security risk by leveraging existing police resources. Thus, we …