Results 11 to 20 of about 9,424 (256)
Complexity, 2022 The crime is difficult to predict; it is random and possibly can occur anywhere at any time, which is a challenging issue for any society. The study proposes a crime prediction model by analyzing and comparing three known prediction classification ...
Muzammil Khan, Azmat Ali, Yasser Alharbi
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ST3DNetCrime: Improved ST-3DNet Model for Crime Prediction at Fine Spatial Temporal Scales
ISPRS International Journal of Geo-Information, 2022 Crime prediction is crucial for sustainable urban development and protecting citizens’ quality of life. However, there exist some challenges in this regard. First, the spatio-temporal correlations in crime data are relatively complex and are heterogenous
Qifen Dong +4 more
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Artificial intelligence & crime prediction: A systematic literature review
Social Sciences and Humanities Open, 2022 The security of a community is its topmost priority; hence, governments must take proper actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in crime prediction is a significant and well-researched area.
Fatima Dakalbab +5 more
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Journal of Pharmaceutical Negative Results, 2022 Abstract: Crimes are treacherous social problems which are faced worldwide. It is the most serious and predominant issue of our society. It affects various key features bound to the society and an individual’s life like the quality of life, reputation, economic growth and societal safety.
Amshu S Gajendra, Aruna S, Malini R
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OPTIMIZED FEATURES AND DEEP LEARNING BASED CRIME TRENDS PREDICTION
ICTACT Journal on Soft Computing, 2021 Crime Prediction is an effort of determining future crime with the intention of diminishing them. Post-analysis of the data from past events, Crime prediction forecasts the future crime on the basis of time and location.
J Jeyaboopathiraja, G Maria Priscilla
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ISPRS International Journal of Geo-Information, 2021 Effective predictive policing can guide police patrols and deter crime. Hourly crime prediction is expected to save police time. The selection of spatial resolution is important due to its strong relationship with the accuracy of crime prediction.
Hong Zhang +3 more
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Machine learning in crime prediction
Journal of Ambient Intelligence and Humanized Computing, 2023 AbstractPredicting crimes before they occur can save lives and losses of property. With the help of machine learning, many researchers have studied predicting crimes extensively. In this paper, we evaluate state-of-the-art crime prediction techniques that are available in the last decade, discuss possible challenges, and provide a discussion about the ...
Karabo Jenga, Cagatay Catal, Gorkem Kar
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SARIMA-GRU Crime Prediction Model Based on Nonlinear Combination of BP Neural Network
Taiyuan Ligong Daxue xuebao, 2023 Aiming at the problems that the current crime prediction model can not capture the composite characteristics of crime sequence data or respond to the dynamic changes of the environment in time, a SARIMA-GRU crime prediction model based on nonlinear ...
Shengchang ZHAI +4 more
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Spatio-Temporal Crime HotSpot Detection and Prediction: A Systematic Literature Review
IEEE Access, 2020 The primary objective of this study is to accumulate, summarize, and evaluate the state-of-the-art for spatio-temporal crime hotspot detection and prediction techniques by conducting a systematic literature review (SLR). The authors were unable to find a
Umair Muneer Butt +5 more
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Comparison of Machine Learning Algorithms for Predicting Crime Hotspots
IEEE Access, 2020 Crime prediction is of great significance to the formulation of policing strategies and the implementation of crime prevention and control. Machine learning is the current mainstream prediction method.
Xu Zhang, Lin Liu, Luzi Xiao, Jiakai Ji
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