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Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions [PDF]
IEEE Access, 2023 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 +3 more
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A Systematic Review of Multi-Scale Spatio-Temporal Crime Prediction Methods
ISPRS International Journal of Geo-Information, 2023 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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Enhancing short-term crime prediction with human mobility flows and deep learning architectures [PDF]
EPJ Data Science, 2022 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
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Leveraging transfer learning with deep learning for crime prediction. [PDF]
PLoS ONECrime 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
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Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention. [PDF]
Vis Comput Ind Biomed Art, 2021 A crime is a deliberate act that can cause physical or psychological harm, as well as property damage or loss, and can lead to punishment by a state or other authority according to the severity of the crime.
Shah N, Bhagat N, Shah M.
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Multimodal Deep Learning Crime Prediction Using Tweets
IEEE Access, 2023 Crime prevention relies on crime prediction as a crucial method to determine the most effective patrol strategy for law enforcement agencies. Various approaches and solutions have been utilized to predict criminal activity.
Sakirin Tam, Omer Ozgur Tanriover
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ISPRS International Journal of Geo-Information, 2020 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 +3 more
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ISPRS International Journal of Geo-Information, 2021 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 +3 more
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Spatio-Temporal Crime HotSpot Detection and Prediction: A Systematic Literature Review
IEEE Access, 2020 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 +5 more
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Artificial Intelligence in Crime Prediction: A Survey With a Focus on Explainability
IEEE AccessCrime prediction has become a valuable tool for enhancing predictive policing, enabling law enforcement agencies to allocate resources more effectively and implement proactive crime prevention strategies, particularly in high-crime areas.
Filiz Ersoz +3 more
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