A Novel Multi-Module Approach to Predict Crime Based on Multivariate Spatio-Temporal Data Using Attention and Sequential Fusion Model

Forecasting crime is complex since several complicated aspects contribute to a crime. Predicting crime becomes more challenging because of the enormous number of everyday crime episodes in varied places. Though there are many established machine learning and deep learning techniques, law enforcement...

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מידע ביבליוגרפי

Principais autores:	Nowshin Tasnim, Iftekher Toufique Imam, M. M. A. Hashem
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2022-01-01
סדרה:	IEEE Access
נושאים:	Attention LSTM crime prediction crime trend fusion model multi-module deep learning model multivariate time series
גישה מקוונת:	https://ieeexplore.ieee.org/document/9766111/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!