Results 1 to 10 of about 9,307 (154)

Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction [PDF]

open access: yesISPRS International Journal of Geo-Information, 2019
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
exaly   +4 more sources

Enhancing short-term crime prediction with human mobility flows and deep learning architectures [PDF]

open access: yesEPJ 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
doaj   +2 more sources

A Systematic Review of Multi-Scale Spatio-Temporal Crime Prediction Methods

open access: yesISPRS 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
exaly   +3 more sources

Crime Prediction with Historical Crime and Movement Data of Potential Offenders Using a Spatio-Temporal Cokriging Method

open access: yesISPRS 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, Lin Liu, Bo Yang
exaly   +3 more sources

Predicting and Preventing Crime: A Crime Prediction Model Using San Francisco Crime Data by Classification Techniques

open access: yesComplexity, 2022
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

open access: yesIEEE 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   +2 more
exaly   +3 more sources

An Adaptive Spatial Resolution Method Based on the ST-ResNet Model for Hourly Property Crime Prediction

open access: yesISPRS 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, Zengli Wang, Hao Yin
exaly   +3 more sources

Spatio-Temporal Crime HotSpot Detection and Prediction: A Systematic Literature Review

open access: yesIEEE 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   +2 more
exaly   +3 more sources

Leveraging transfer learning with deep learning for crime prediction. [PDF]

open access: yesPLoS ONE
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

open access: yesForecasting, 2021
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

Home - About - Disclaimer - Privacy