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| Ambient Population and Larceny- | theft | : A Spatial Analysis Using Mobile Phone Data |
| Analyzing Space-Time Dynamics of | theft | Rates Using Exchange Mobility |
| Artificial Neural Network Model Development to Predict | theft | Types in Consideration of Environmental Factors |
| Assessing Impacts of New Subway Stations on Urban | theft | s in the Surrounding Areas |
| Deep Recurrent Electricity | theft | Detection in AMI Networks with Random Tuning of Hyper-parameters |
| Explaining | theft | Using Offenders' Activity Space Inferred from Residents' Mobile Phone Data |
| Exploring the Impact of Floating Population with Different Household Registration on | theft | |
| Influence of Varied Ambient Population Distribution on Spatial Pattern of | theft | from the Person: The Perspective from Activity Space |
| Snatch | theft | detection in unconstrained surveillance videos using action attribute modelling |
| Space-Time Analysis of Vehicle | theft | Patterns in Shanghai, China |
| Spatiotemporal Distribution and Influencing Factors of | theft | during the Pre-COVID-19 and COVID-19 Periods: A Case Study of Haining City, Zhejiang, China |
| Unattended Package, Abandoned Luggage, Left Luggage, | theft | |
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