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 …

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 …

Increasing internal state security requires an understanding of the factors that influence the
commission of repetitive crimes (recidivism) since the crime is not caused by public danger …

In this paper, a brief survey of data preprocessing methods is presented. Specifically, the
data preprocessing methods used in the smart grid (SG) domain are surveyed. Also, with the …

Crime against women (CAW) in India is the violence against women that is at par in previous
years. India is densely populated has added to the figures of crime against women. This …

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 …

Fictitious business–is the creation or acquisition of business entities in order to cover up
illegal activities or activities that are prohibited. Investigation of economic crime takes a lot of …

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 …