Results 1 to 10 of about 9,307 (154)
Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction [PDF]
Crime geographical displacement has been examined in many Western countries. However, little is known about its existence, distribution, and potential predictive ability in large cities in China.
Zengli Wang, Lin Liu, Hanlin Zhou
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Enhancing short-term crime prediction with human mobility flows and deep learning architectures [PDF]
Place-based short-term crime prediction models leverage the spatio-temporal patterns of historical crimes to predict aggregate volumes of crime incidents at specific locations over time.
Jiahui Wu +4 more
doaj +2 more sources
A Systematic Review of Multi-Scale Spatio-Temporal Crime Prediction Methods
Crime is always one of the most important social problems, and it poses a great threat to public security and people. Accurate crime prediction can help the government, police, and citizens to carry out effective crime prevention measures. In this paper,
Yingjie Du, Ning Ding
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Crime prediction using machine learning and data fusion assimilation has become a hot topic. Most of the models rely on historical crime data and related environment variables.
Hongjie Yu, Lin Liu, Bo Yang
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The crime is difficult to predict; it is random and possibly can occur anywhere at any time, which is a challenging issue for any society. The study proposes a crime prediction model by analyzing and comparing three known prediction classification ...
Muzammil Khan, Azmat Ali, Yasser Alharbi
doaj +2 more sources
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
Predicting crime using machine learning and deep learning techniques has gained considerable attention from researchers in recent years, focusing on identifying patterns and trends in crime occurrences.
Varun Mandalapu +2 more
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Effective predictive policing can guide police patrols and deter crime. Hourly crime prediction is expected to save police time. The selection of spatial resolution is important due to its strong relationship with the accuracy of crime prediction.
Hong Zhang, Zengli Wang, Hao Yin
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Spatio-Temporal Crime HotSpot Detection and Prediction: A Systematic Literature Review
The primary objective of this study is to accumulate, summarize, and evaluate the state-of-the-art for spatio-temporal crime hotspot detection and prediction techniques by conducting a systematic literature review (SLR). The authors were unable to find a
Umair Muneer Butt +2 more
exaly +3 more sources
Leveraging transfer learning with deep learning for crime prediction. [PDF]
Crime remains a crucial concern regarding ensuring a safe and secure environment for the public. Numerous efforts have been made to predict crime, emphasizing the importance of employing deep learning approaches for precise predictions.
Umair Muneer Butt +3 more
doaj +2 more sources
Examining Deep Learning Architectures for Crime Classification and Prediction
In this paper, a detailed study on crime classification and prediction using deep learning architectures is presented. We examine the effectiveness of deep learning algorithms in this domain and provide recommendations for designing and training deep ...
Panagiotis Stalidis +2 more
exaly +3 more sources

