Zobrazeno 1 - 10
of 680
pro vyhledávání: '"crime prediction"'
Autor:
Toshka Coleman, Paul Mokilane, Mapitsi Rangata, Jenny Holloway, Nicolene Botha, Renee Koen, Nontembeko Dudeni-Tlhone
Publikováno v:
Crime Science, Vol 13, Iss 1, Pp 1-14 (2024)
Abstract Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers. This information can be used to identify high-crime areas, and optimise resource allocat
Externí odkaz:
https://doaj.org/article/3076ab44008b4a2d96789592380650e6
Autor:
Liu Yang, Jiang Guofan, Zhang Yixin, Wei Qianze, Zhang Jian, Roohallah Alizadehsani, Pawel Plawiak
Publikováno v:
IEEE Access, Vol 12, Pp 149502-149527 (2024)
Online social networks, especially Twitter (X), have become focal points for illicit activities, providing unique criminal investigation opportunities. This paper introduces an innovative methodology that uses social media sentiment analysis to predi
Externí odkaz:
https://doaj.org/article/00a76757a2ff456bbe402eff5bddc785
Publikováno v:
IEEE Access, Vol 12, Pp 74915-74929 (2024)
In the face of rapidly increasing crime rates, the evolving complexity of crime data processing, and public safety challenges, the need for more advanced policing solutions has increased leading to the emergence of smart policing systems and predicti
Externí odkaz:
https://doaj.org/article/cc472ff4f4cd45d08d3ce3b593130a75
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 7, p 229 (2024)
In contemporary research, the street network emerges as a prominent and recurring theme in crime prediction studies. Meanwhile, graph representation learning shows considerable success, which motivates us to apply the methodology to crime prediction
Externí odkaz:
https://doaj.org/article/92a4a9a92525416691cc5dd9022ebcee
Autor:
Liu Yiwen, Zou Mingzhu
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Criminal activity has always been a problem that seriously affects people’s sense of security and well-being in life, and it is also the focus of public security departments in terms of security prevention and control. This study aims to use scient
Externí odkaz:
https://doaj.org/article/6a533fa1d5da485586847cb51f3265c4
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 54, Iss 3, Pp 525-533 (2023)
Aiming at the problems that the current crime prediction model can not capture the composite characteristics of crime sequence data or respond to the dynamic changes of the environment in time, a SARIMA-GRU crime prediction model based on nonlinear c
Externí odkaz:
https://doaj.org/article/602328ae50a848aa9ff60d97562bc96f
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp 70080-94 (2023)
Crime is a threat to any nation’s security administration and jurisdiction. Therefore, crime analysis becomes increasingly important because it assigns the time and place based on the collected spatial and temporal data. However, old techniques, su
Externí odkaz:
https://doaj.org/article/1467625db3f04aab9eebc1d9aa2d2ad2
Autor:
Sakirin Tam, Omer Ozgur Tanriover
Publikováno v:
IEEE Access, Vol 11, Pp 93204-93214 (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. Nonetheless the environmen
Externí odkaz:
https://doaj.org/article/bb45ab99b3ef420090e53f822116bd6e
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
Publikováno v:
IEEE Access, Vol 11, Pp 60153-60170 (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. This review paper examines over 150 articles to
Externí odkaz:
https://doaj.org/article/0a76290e70fe4965a730048bead05d1a
Publikováno v:
Journal of Safety Science and Resilience, Vol 3, Iss 4, Pp 340-352 (2022)
The COVID-19 pandemic is strongly affecting many aspects of human life and society around the world. To investigate whether this pandemic also influences crime, the differences in crime incidents numbers before and during the pandemic in four large c
Externí odkaz:
https://doaj.org/article/45d8127d969c4bf38492aa06e8f4eeed