Leveraging Deep Learning and SNA approaches for Smart City Policing in the Developing World
نویسندگان
چکیده
Is it possible to identify crime suspects by their mobile phone call records? Can the spatial-temporal movements of individuals linked convicted criminals help those who facilitate crime? Might we leverage usage phones, such as incoming and outgoing numbers, coordinates, duration frequency calls, in a specific time window on either side provide focus for location period under investigation? data records criminals' social networks serve distinguish from non-criminals? To address these questions, used heterogeneous dataset tapping into power network analysis advancements graph convolutional networks. In collaboration with Punjab Police Information Technology Board, techniques were useful identifying individuals. The approaches employed are facilitators support smart policing fight against country's increasing rates. Last but not least, applied methods highly desirable complement high-cost video-based city surveillance platforms developing countries.
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ژورنال
عنوان ژورنال: International Journal of Information Management
سال: 2021
ISSN: ['0268-4012', '1873-4707']
DOI: https://doi.org/10.1016/j.ijinfomgt.2019.102045