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of 4 594
pro vyhledávání: '"crime prediction"'
Traditional crime prediction techniques are slow and inefficient when generating predictions as crime increases rapidly \cite{r15}. To enhance traditional crime prediction methods, a Long Short-Term Memory and Gated Recurrent Unit model was construct
Externí odkaz:
http://arxiv.org/abs/2409.00640
Autor:
Utsha, Rittik Basak, Alif, Muhtasim Noor, Rayhan, Yeasir, Hashem, Tanzima, Ali, Mohammad Eunus
Crime prediction is a widely studied research problem due to its importance in ensuring safety of city dwellers. Starting from statistical and classical machine learning based crime prediction methods, in recent years researchers have focused on expl
Externí odkaz:
http://arxiv.org/abs/2407.19324
As various types of crime continue to threaten public safety and economic development, predicting the occurrence of multiple types of crimes becomes increasingly vital for effective prevention measures. Although extensive efforts have been made, most
Externí odkaz:
http://arxiv.org/abs/2409.15764
Crime forecasting is a critical component of urban analysis and essential for stabilizing society today. Unlike other time series forecasting problems, crime incidents are sparse, particularly in small regions and within specific time periods. Tradit
Externí odkaz:
http://arxiv.org/abs/2408.04193
Autor:
Wu, Jiahui, Frias-Martinez, Vanessa
Deep learning architectures enhanced with human mobility data have been shown to improve the accuracy of short-term crime prediction models trained with historical crime data. However, human mobility data may be scarce in some regions, negatively imp
Externí odkaz:
http://arxiv.org/abs/2406.06645
Granularity and accuracy are two crucial factors for crime event prediction. Within fine-grained event classification, multiple criminal intents may alternately exhibit in preceding sequential events, and progress differently in next. Such intensive
Externí odkaz:
http://arxiv.org/abs/2404.06756
Autor:
Butt, Umair Muneer1,2 (AUTHOR) umair@student.usm.my, Letchmunan, Sukumar1 (AUTHOR) umair@student.usm.my, Hassan, Fadratul Hafinaz1 (AUTHOR), Koh, Tieng Wei3 (AUTHOR)
Publikováno v:
PLoS ONE. 4/17/2024, Vol. 19 Issue 4, p1-20. 20p.
Autor:
Wu, Jiahui, Frias-Martinez, Vanessa
Deep learning crime predictive tools use past crime data and additional behavioral datasets to forecast future crimes. Nevertheless, these tools have been shown to suffer from unfair predictions across minority racial and ethnic groups. Current appro
Externí odkaz:
http://arxiv.org/abs/2406.04382
Autor:
Taha, Kamal
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 statistical methods, machine learning algorithms, and deep learning t
Externí odkaz:
http://arxiv.org/abs/2403.00780
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