2024
DOI: 10.1371/journal.pone.0296486
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Leveraging transfer learning with deep learning for crime prediction

Umair Muneer Butt,
Sukumar Letchmunan,
Fadratul Hafinaz Hassan
et al.

Abstract: Crime remains a crucial concern regarding ensuring a safe and secure environment for the public. Numerous efforts have been made to predict crime, emphasizing the importance of employing deep learning approaches for precise predictions. However, sufficient crime data and resources for training state-of-the-art deep learning-based crime prediction systems pose a challenge. To address this issue, this study adopts the transfer learning paradigm. Moreover, this study fine-tunes state-of-the-art statistical and de… Show more

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