Smart Zoning for Enhanced Urban Safety: Crime Risk Assessment Using Unsupervised Learning
The primary objective of this article is to enhance community safety by employing unsupervised machine learning algorithms in the development of a mobile application that provides accessible information on crime risks in specific areas for the users. By allowing individuals to avoid high-risk zones...
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| Published in: | Procedia computer science Vol. 270; pp. 2929 - 2938 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
2025
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| Subjects: | |
| ISSN: | 1877-0509, 1877-0509 |
| Online Access: | Get full text |
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