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 …

Urban and peri-urban ecosystems are subjected to an intense impact. The demand for
ecosystem services (ES) is higher in these areas. Nevertheless, despite the anthropogenic …

The relationship between crime patterns and associated variables has drawn a lot of
attention. These variables play a critical role in crime prediction. While traditional regression …

While environmental criminology suggests that crime and the urban environment are closely
related, some studies suggest a nonlinear relationship. This study analyzed the relationship …

Cyber-attacks have become one of the biggest problems of the world. They cause serious
financial damages to countries and people every day. The increase in cyber-attacks also …

Discrimination and bias are inherent problems of many AI applications, as seen in, for
instance, face recognition systems not recognizing dark-skinned women and content …

The crime rate in India is considerably increasing day by day. Consequently, the data
associated with crime is also increasing, opening doors for data-driven approaches to these …

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 …

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 …

The spatiotemporal distribution of crime is closely related to the environment, exhibiting a
typical characteristic of “spatiotemporal autocorrelation”. However, most of the existing …