Results 61 to 70 of about 5,507,676 (170)
Exploring Violent and Property Crime Geographically
There are multiple geographical crime prediction techniques to use and comparing different prediction techniques therefore becomes important. In the current study we compared the accuracy (Predictive Accuracy Index) and precision (Recapture Rate Index ...
Maria Camacho Doyle +2 more
doaj +1 more source
Crime Prediction Using Machine Learning and Deep Learning
The utilization of machine learning and deep learning methods for crime prediction has become a focal point for researchers, aiming to decipher the complex patterns and occurrences of crime.
P. Karthik +3 more
semanticscholar +1 more source
Review of major policy developments and evidence base: crime domain [PDF]
The evidence base review for the Crime Domain examined some of the leading theories used to explain the manifestation of crime (i.e. what makes some neighbourhoods and places more vulnerable to crime than others), presented information on levels of ...
Johnson, Shane D. +3 more
core +4 more sources
Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman +6 more
doaj +1 more source
Crime Spatiotemporal Prediction Through Urban Region Representation by Using Building Footprints
Current crime spatiotemporal prediction models are limited by the insufficient ability of POI data to represent the continuity and mixed-use nature of urban spatial functions. To address this, our study applies an urban region representation method based
Tao Wang, Peng Chen, Miaoxuan Shan
doaj +1 more source
Design, crime and the built environment [PDF]
Crime Prevention through Environmental Design (CPTED) is a method of reducing crime through the design and manipulation of the built environment. Based upon the Opportunity Theories of crime, CPTED focuses upon blocking opportunities for criminal ...
Armitage, Rachel
core +3 more sources
AI Based Crime Rate Prediction [PDF]
Predicting crimes before they occur can save lives and losses of property. With the help of machine learning, many researchers have studied predicting crimes extensively.
Prof. Anupam, Chaube +4 more
core
A multi‐dimensional crime spatial pattern analysis and prediction model based on classification
This article presents a multi‐dimensional spatial pattern analysis of crime events in San Francisco. Our analysis includes the impact of spatial resolution on hotspot identification, temporal effects in crime spatial patterns, and relationships between ...
Gaurav Hajela +2 more
doaj +1 more source
The Role of Artificial Intelligence in Predicting Criminal Offender Profiles [PDF]
The rapid expansion of artificial intelligence (AI) has significantly transformed various domains, including criminology and criminal justice. Given the growing complexity of criminal behaviors and the limitations of traditional investigative methods ...
Saman Abdollahi
doaj +1 more source
Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model
Accurate crime prediction is crucial for the proactive allocation of law enforcement resources and ensuring urban safety. A major challenge in achieving accurate predictions lies in identifying generalized patterns of criminal behavior from ...
Miaoxuan Shan +3 more
doaj +1 more source

