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A systematic review on spatial crime forecasting [PDF]
Crime Science, 2020 Background Predictive policing and crime analytics with a spatiotemporal focus get increasing attention among a variety of scientific communities and are already being implemented as effective policing tools.
Ourania Kounadi +3 more
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Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy. [PDF]
PLoS ONE, 2022 The continued urbanization poses several challenges for law enforcement agencies to ensure a safe and secure environment. Countries are spending a substantial amount of their budgets to control and prevent crime.
Umair Muneer Butt +3 more
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Short-term Crime Forecasting in Kedah [PDF]
Procedia, Social and Behavioral Sciences, 2013 AbstractCrime Forecasting is rarely used globally by police including Malaysia. In practice usually the police would target persons with their criminality and studying their strategy of implementing crime. The police will also monitor the current crime situation and will take necessary action when the crime index increases.
Ismail, Suzilah, Ramli, Nurulhuda
exaly +4 more sources
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention [PDF]
Visual Computing for Industry, Biomedicine, and 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.
Neil Shah, Nandish Bhagat, Manan Shah
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A simple crime hotspot forecasting algorithm [PDF]
Annals of computer science and information systems, 2020 Crime hotspot forecasting is an important part of crime prevention and reducing the delay between a 911 call and the physical intervention. Current developments in the field focus on enriching the historical data and sophisticated point process analysis methods with a fixed grid.
Robert Bogucki +2 more
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IEEE Access, 2021 Crime and violation are the threat to justice and meant to be controlled. Accurate crime prediction and future forecasting trends can assist to enhance metropolitan safety computationally. The limited ability of humans to process complex information from
Wajiha Safat, Sohail Asghar
exaly +3 more sources
Lightweight deep learning model for crime pattern recognition based on transformer with simulated annealing sparsity and CNN [PDF]
Scientific ReportsThis study addresses the pressing need for high efficiency and low resource consumption in crime pattern recognition within public safety governance by proposing a lightweight deep learning model known as the lightweight crime recognition network (LCRNet)
HongYuan Lu +3 more
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Predicting Crime and Other Uses of Neural Networks in Police Decision Making
Frontiers in Psychology, 2021 Neural networks are a machine learning method that excel in solving classification and forecasting problems. They have also been shown to be a useful tool for working with big data oriented environments such as law enforcement.
Steven Walczak
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Money laundering rate modelling
Вестник университета, 2023 The article continues the analysis of the work of the model developed by the authors of forecasting money laundering rate. The purpose of the study is to compare the results of the forecast with the actual data. Authors used official data by the Ministry
J. M. Beketnova, E. S. Anisimov
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Prostitution Arrest Spatial Forecasting in an Era of Increasing Decriminalization
Urban Science, 2022 There is ongoing debate regarding the merits of decriminalization or outright legalization of commercial sex work in the United States. A few municipalities have officially legalized both the selling and purchasing of sex, while others unofficially ...
Edward Helderop +3 more
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