Results 41 to 50 of about 5,507,676 (170)
Big Data and Cognitive ComputingAs global urbanization accelerates, communities have emerged as key areas where social conflicts and public safety risks clash. Traditional crime prevention models experience difficulties handling dynamic crime hotspots due to data lags and poor ...
Yuxiao Fan, Xiaofeng Hu, Jinming Hu
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A Spatial Semantic-Guided Online Crime Spatiotemporal Prediction Model
ISPRS International Journal of Geo-InformationAccurate crime spatiotemporal prediction is crucial for crime prevention. However, crime occurrences are influenced by diverse and interacting social factors, resulting in dynamically evolving distributions with non-stationarity and spatial heterogeneity.
Huan Jiang +4 more
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Interstitial crime analysis [PDF]
, 2014 Crime on public transport can be very difficult to analyse. 'Stealth crimes' like pick-pocketing present a particular challenge because victims often have an imprecise knowledge of the location and time of the offence.
Newton, Andrew D. +2 more
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Crime Hotspot Detection and Monitoring Using Video Based Event Modeling and Mapping Techniques*
International Journal of Computational Intelligence Systems, 2017 This paper presents a new approach to crime hotspot detection and monitoring. The approach consists of three phases’ namely: video analysis, crime prediction and crime mapping.
Zou Beiji +3 more
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Systems, 2023 Heritage crimes can result in the significant loss of cultural relics and predicting them is crucial. To address the issues of inconsistent textual information format and the challenge of preventing and combating heritage crimes, this paper develops a ...
Hongyu Lv +4 more
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Honduras elites and organized crime [PDF]
, 2016 This detailed study traces connections between wealthy and political elites in Honduras, and organized crime. For Honduran transnational elites, the state’s role is simple: to create and enforce rules that favour their continued power over key industries
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Applied Machine Learning in Social Sciences: Neural Networks and Crime Prediction
Social Sciences, 2020 This study proposes a crime prediction model according to communes (areas or districts in which the city of Buenos Aires is divided). For this, the Python programming language is used, due to its versatility and wide availability of libraries oriented to
Ricardo Francisco Reier Forradellas +3 more
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ISPRS Int. J. Geo Inf., 2022 Crimes are a common societal concern impacting quality of life and economic growth. Despite the global decrease in crime statistics, specific types of crime and feelings of insecurity, have often increased, leading safety and security agencies with the ...
M. Saraiva +3 more
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Organised crime in Australia 2015 [PDF]
, 2015 Provides the context in which organised crime operates in Australia and gives an overview of each of the key illicit markets and the activities which fundamentally enable serious and organised crime.
Australian Crime Commission
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Guatemala elites and organized crime [PDF]
, 2016 CACIF is the de facto political party of Guatemala's economic elites. It unites the most important economic actors and is capable of integrating, via informal mechanisms, the heads of consortia and family groups with significant weight in a variety ...
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