Cargando…
Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy
The continued urbanization poses several challenges for law enforcement agencies to ensure a safe and secure environment. Countries are spending a substantial amount of their budgets to control and prevent crime. However, limited efforts have been made in the crime prediction area due to the deficie...
Autores principales: | Butt, Umair Muneer, Letchmunan, Sukumar, Hassan, Fadratul Hafinaz, Koh, Tieng Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9451076/ https://www.ncbi.nlm.nih.gov/pubmed/36070317 http://dx.doi.org/10.1371/journal.pone.0274172 |
Ejemplares similares
-
Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications
por: Butt, Umair Muneer, et al.
Publicado: (2021) -
Forecasting with exponential smoothing: the state space approach
por: Hyndman, Rob J, et al.
Publicado: (2008) -
Comparison of exponential smoothing methods in forecasting global prices of main metals
por: Kahraman, Esma, et al.
Publicado: (2022) -
Short-Term PM2.5 Forecasting Using Exponential Smoothing Method: A Comparative Analysis
por: Mahajan, Sachit, et al.
Publicado: (2018) -
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention
por: Shah, Neil, et al.
Publicado: (2021)