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 …

Neural networks are a machine learning method that excel in solving classification and
forecasting problems. They have also been shown to be a useful tool for working with big …

Flood disasters are a natural occurrence around the world, resulting in numerous casualties.
It is vital to develop an accurate flood forecasting and prediction model in order to curb …

The continued urbanization poses several challenges for law enforcement agencies to
ensure a safe and secure environment. Countries are spending a substantial amount of their …

In the criminology area, to detain the serial criminal, the forthcoming serial crime time,
distance, and criminal's biography are essential keys. The main concern of this study is on …

Technical advancements initiated a rapid increase in criminal activity over time. For the
prevention of these criminal activities, preventive measures are needed. In order to monitor …

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 …

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 …

Urban safety and security play a crucial role in improving life quality of citizen and the
sustainable development of urban. In this paper, we propose a Deep Temporal Multi-Graph …

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 …