Results 31 to 40 of about 5,507,676 (170)
Image and video-based crime prediction using object detection and deep learning
Bulletin of Electrical Engineering and Informatics, 2023 In recent years, the use of artificial intelligence (AI) for image and video-based crime detection has gained significant attention from law enforcement agencies and security experts. Indeed, deep learning (DL) models can learn complex patterns from data
Mohammed Boukabous, M. Azizi
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Crime amount prediction based on 2D convolution and long short-term memory neural network
ETRI Journal, 2022 Crime amount prediction is crucial for optimizing the police patrols' arrangement in each region of a city. First, we analyzed spatiotemporal correlations of the crime data and the relationships between crime and related auxiliary data, including points ...
Qifen Dong, Ruihui Ye, Guojun Li
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IEEE Access, 2021 Crime and violation are the threat to justice and meant to be controlled. Accurate crime prediction and future forecasting trends can assist to enhance metropolitan safety computationally. The limited ability of humans to process complex information from
Wajiha Safat, Soahail Asghar, S. Gillani
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Prediction of crime occurrence from multi-modal data using deep learning. [PDF]
PLoS ONE, 2017 In recent years, various studies have been conducted on the prediction of crime occurrences. This predictive capability is intended to assist in crime prevention by facilitating effective implementation of police patrols.
Hyeon-Woo Kang, Hang-Bong Kang
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Spatio-Temporal Deep Fusion Graph Convolutional Networks for Crime Prediction
International Conference on Machine Learning and Soft Computing, 2023 Effective crime prediction plays a key role in sustaining the stability of society. In recent years, researchers have proposed a number of prediction methods that extract spatial and temporal features separately and fuse afterward.
Bingbin Chen, Yong Liao
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Smart Patrolling Based on Spatial-Temporal Information Using Machine Learning
Mathematics, 2022 With the aim of improving security in cities and reducing the number of crimes, this research proposes an algorithm that combines artificial intelligence (AI) and machine learning (ML) techniques to generate police patrol routes.
Cesar Guevara, Matilde Santos
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Multi-Type Urban Crime Prediction
AAAI Conference on Artificial Intelligence, 2022 Crime prediction plays an impactful role in enhancing public security and sustainable development of urban. With recent advances in data collection and integration technologies, a large amount of urban data with rich crime-related information and fine ...
Xiangyu Zhao +3 more
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Spatial-temporal meta-path guided explainable crime prediction [PDF]
World wide web (Bussum), 2022 Exposure to crime and violence can harm individuals’ quality of life and the economic growth of communities. In light of the rapid development in machine learning, there is a rise in the need to explore automated solutions to crime prevention.
Yuting Sun, Tong Chen, Hongzhi Yin
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Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction [PDF]
Journal of Computational Science and TechnologyAs various types of crimes continue to threaten public safety and economic development, predicting the occurrence of multiple types of crimes becomes increasingly vital for effective prevention measures. Although extensive efforts have been made, most of
Ziyang Wu +4 more
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Anisotropic Diffusion for Improved Crime Prediction in Urban China
ISPRS International Journal of Geo-Information, 2019 As a major social issue during urban development, crime is closely related to socioeconomic, geographic, and environmental factors. Traditional crime prediction models reveal the spatiotemporal dynamics of crime risks, but usually ignore the ...
Yicheng Tang +4 more
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