Prediction of crime rate in urban neighborhoods based on machine learning

A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

(2020) Seçkin Karasu et al.   ENERGY

Measuring human perceptions of a large-scale urban region using machine learning

(2018) Fan Zhang et al.   LANDSCAPE AND URBAN PLANNING

Prediction of crime occurrence from multi-modal data using deep learning

(2017) Hyeon-Woo Kang et al.   PLoS One

Predicting crime using Twitter and kernel density estimation

(2014) Matthew S. Gerber   DECISION SUPPORT SYSTEMS

The strategies on safe city making through hotspot analyses on crime

(2014) Kirl Kim et al.   KSCE Journal of Civil Engineering

Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy

(2012) Salvatore Campisi-Pinto et al.   WATER RESOURCES MANAGEMENT

Self-Exciting Point Process Modeling of Crime

(2011) G. O. Mohler et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits?

(2010) Hannah M. Badland et al.   JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE

The seasonal relationship between assault and homicide in England and Wales

(2008) Daniel J. Rock et al.   INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED

Prediction of ground subsidence in Samcheok City, Korea using artificial neural networks and GIS

(2008) Ki-Dong Kim et al.   Environmental geology.