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Computer science
Crime science is precisely what it says it is: the application of science to the phenomenon of crime. This handbook, intended as a crime science manifesto, showcases the scope of the crime science field and provides the ...
White-collar crime in the shadow economy : lack of detection, investigation and conviction compared to social security fraud
Our starting point is our database of those who annually are
convicted of white-collar crime in Norway. Convicts commit financial
crime amounting to 1 billion Norwegian Kroner (NOK) annually—the tip
of the iceberg. Our ...
The Argentinian and Chilean 'Novela Negra' (crime fiction) of the post-dictatorship
(PONTIFICIA UNIV CATOLICA CHILE, FAC LETRAS, 2011)
This paper aims to explain some contextual features of the Novela Negra in Chile and Argentina as part of the detective fiction in the period of post-dictatorship. Then, it will try to accent some nuances of difference ...
Real World Anomalous Scene Detection and Classification using Multilayer Deep Neural Networks
Surveillance videos record malicious events in a locality utilizing various machine learning algorithms for detection. Deep-learning algorithms being the most prominent AI algorithms are data-hungry as well as computationally ...
Análise espacial da criminalidade em uma grande metrópole: um estudo de caso para o município de São Paulo
(Universidade Estadual Paulista (Unesp), 2016-10-28)
Este trabalho tem como objetivo inferir sobre características e padrões espaços-temporais da criminalidade no contexto de uma grande cidade. O crime na sociedade é um problema complexo, que abrange um grande leque de ...
ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System
Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ...