Zobrazeno 1 - 10
of 73
pro vyhledávání: '"crime trend"'
Publikováno v:
IEEE Access, Vol 10, Pp 48009-48030 (2022)
Forecasting crime is complex since several complicated aspects contribute to a crime. Predicting crime becomes more challenging because of the enormous number of everyday crime episodes in varied places. Though there are many established machine lear
Externí odkaz:
https://doaj.org/article/bc389dd2ffcc4240b4b7d381c57bcd5f
Akademický článek
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Autor:
Klisarić, Milan, Skakavac, Zdravko
Publikováno v:
Европско законодавство / The European Legislation. (54):307-329
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1036652
Autor:
Luzi Shi
Publikováno v:
Journal of Experimental Criminology. 18:277-295
Public punitiveness is closely related to the expansion of the US penal system. Prior studies have examined inaccurate crime trend perceptions and negative emotions as key predictors of punitive attitudes. However, the interconnections between crime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be88a01538bc8f16175309d803d5b2a5
https://doi.org/10.1007/s11292-020-09454-7
https://doi.org/10.1007/s11292-020-09454-7
Autor:
Hafiz Husnain Raza Sherazi, Sukumar Letchmunan, Anees Baqir, Umair Muneer Butt, Fadratul Hafinaz Hassan, Mubashir Ali
Publikováno v:
IEEE Access, Vol 8, Pp 166553-166574 (2020)
IEEE Access
IEEE Access
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 fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1425580af7fcdb9dc0880b27e34708a
https://ieeexplore.ieee.org/document/9187772/
https://ieeexplore.ieee.org/document/9187772/
Publikováno v:
Justice Quarterly. 38:995-1018
Against the backdrop of an overall declining crime trend our overarching objective is to explore whether this development has concealed any degree of divergence between participation and frequency in crime. We employ Swedish longitudinal data compris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2830ac905798d04fbfae8b55b40ebca
https://doi.org/10.1080/07418825.2019.1699941
https://doi.org/10.1080/07418825.2019.1699941
Understanding the Spatiotemporal Pattern of Crimes in Changchun, China: A Bayesian Modeling Approach
Publikováno v:
Sustainability; Volume 13; Issue 19; Pages: 10500
Sustainability, Vol 13, Iss 10500, p 10500 (2021)
Sustainability, Vol 13, Iss 10500, p 10500 (2021)
Chinese cities have been undergoing extraordinary changes in many respects during the process of urbanization, which has caused crime patterns to evolve accordingly. This research applies a Bayesian spatiotemporal model to explore and understand the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14276c94fafd99a771c19e5b93e6c2fb
Akademický článek
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Autor:
Elvis P. Patulin
Publikováno v:
International Journal of Advanced Trends in Computer Science and Engineering. 8:663-666
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a426c5cdc8eb751835f68755461c533
https://doi.org/10.30534/ijatcse/2019/52832019
https://doi.org/10.30534/ijatcse/2019/52832019
Autor:
Sat Byul Seo, Chang Yun Kim
Publikováno v:
The korean Association of Police Science Review. 20:113-142
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50d8127992b96e80de6bc0afcf65541b
https://doi.org/10.24055/kaps.20.6.5
https://doi.org/10.24055/kaps.20.6.5