Results 51 to 60 of about 5,507,676 (170)
Artificial Intelligence ReviewCrime is the intentional commission of an act usually suspected as socially detrimental and specifically defined, forbidden, and punishable under criminal law.
Manpreet Kaur, Munish Saini
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Indonesian Journal of Electrical Engineering and Computer Science, 2022 Sentiment analysis (SA) is widely used today in many areas such as crime detection (security intelligence) to detect potential security threats in realtime using social media platforms such as Twitter.
Mohammed Boukabous, M. Azizi
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Crime Prediction and Analysis Using Machine Learning
International journal of computer science and mobile computing, 2022 It is critical to recognise crime patterns in order to be better prepared to respond to criminal behavior. We study crime data of states in india that was scrapped publicly available websites kaggle for our project.
V. Balu, T. Sri, M. Bupathi
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Spatio-Temporal Prediction of Baltimore Crime Events Using CLSTM Neural Networks
IEEE Access, 2020 Crime activity in many cities worldwide causes significant damages to the lives of victims and their surrounding communities. It is a public disorder problem, and big cities experience large amounts of crime events.
Nicolas Esquivel +3 more
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International Journal of Advanced Computer Science and Applications—Predicting the likelihood of a crime occurring is difficult, but machine learning can be used to develop models that can do so. Random forest, logistic regression, and LightGBM are three well-known classification methods that can be applied to crime ...
Abdulrahman Alsubayhin +2 more
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Computational Urban ScienceCrime prevention requires accurate prediction of the spatial and temporal distribution of criminal activities to effectively allocate law enforcement resources.
Yanhong Huang +5 more
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An Integrated Graph Model for Spatial-Temporal Urban Crime Prediction Based on Attention Mechanism
ISPRS Int. J. Geo Inf., 2022 Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial–temporal crime prediction
Miaomiao Hou +4 more
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Elites and organized crime : introduction, methodology, and conceptual framework [PDF]
, 2016 Guatemala, Honduras, Colombia and Nicaragua represent an illuminating cross section of criminal organizations and types of elites. Elite dynamics in each of these countries are different, but with important commonalities; the makeup, role and penetration
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Violence in Popular U.S. Prime Time TV Dramas and the Cultivation of Fear: A Time Series Analysis
Media and Communication, 2014 Gerbner and Gross’s cultivation theory predicts that prolonged exposure to TV violence creates fear of crime, symptomatic of a mean world syndrome. We tested the theory’s prediction in a time series model with annual changes in violence portrayal on ...
Daniel Romer, Patrick Jamieson
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Predicting Spatial Crime Occurrences through an Efficient Ensemble-Learning Model
ISPRS International Journal of Geo-Information, 2020 While the use of crime data has been widely advocated in the literature, its availability is often limited to large urban cities and isolated databases that tend not to allow for spatial comparisons.
Yasmine Lamari +4 more
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