Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention

N Shah, N Bhagat, M Shah - … Computing for Industry, Biomedicine, and Art, 2021 - Springer
A crime is a deliberate act that can cause physical or psychological harm, as well as
property damage or loss, and can lead to punishment by a state or other authority according …

A systematic review of using machine learning and natural language processing in smart policing

P Sarzaeim, QH Mahmoud, A Azim, G Bauer, I Bowles - Computers, 2023 - mdpi.com
Smart policing refers to the use of advanced technologies such as artificial intelligence to
enhance policing activities in terms of crime prevention or crime reduction. Artificial …

AI-enabled future crime

M Caldwell, JTA Andrews, T Tanay, LD Griffin - Crime Science, 2020 - Springer
A review was conducted to identify possible applications of artificial intelligence and related
technologies in the perpetration of crime. The collected examples were used to devise an …

Crime analysis through machine learning

S Kim, P Joshi, PS Kalsi, P Taheri - 2018 IEEE 9th Annual …, 2018 - ieeexplore.ieee.org
This paper investigates machine-learning-based crime prediction. In this work, Vancouver
crime data for the last 15 years is analyzed using two different data-processing approaches …

E2E-VSDL: End-to-end video surveillance-based deep learning model to detect and prevent criminal activities

MQ Gandapur - Image and Vision Computing, 2022 - Elsevier
Crime detection and their prediction is a fundamental process to reduce criminal activities
before they actually happen. Moreover, the detection method is vital since can it potentially …

Monitoring the impact of economic crisis on crime in India using machine learning

M Mittal, LM Goyal, JK Sethi, DJ Hemanth - Computational Economics, 2019 - Springer
Trends of crimes in India keep changing with the growing population and rapid development
of towns and cities. The rise in crimes at any place especially crimes against women …

[图书][B] Mediaciones ubicuas: ecosistema móvil, gestión de identidad y nuevo espacio público

JM Aguado - 2020 - books.google.com
Las mediaciones ubicuas designan el alcance total de la superposición entre el contenido
digital y la vida cotidiana, el punto de inflexión a partir del cual la tecnología se independiza …

Spatio-temporal prediction of Baltimore crime events using CLSTM neural networks

N Esquivel, O Nicolis, B Peralta, J Mateu - IEEE Access, 2020 - ieeexplore.ieee.org
Crime activity in many cities worldwide causes significant damages to the lives of victims
and their surrounding communities. It is a public disorder problem, and big cities experience …

Intelligent crime anomaly detection in smart cities using deep learning

S Chackravarthy, S Schmitt… - 2018 IEEE 4th International …, 2018 - ieeexplore.ieee.org
The quick and accurate identification of criminal activity is paramount to securing any
residence. With the rapid growth of smart cities, the integration of crime detection systems …

Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy

UM Butt, S Letchmunan, FH Hassan, TW Koh - Plos one, 2022 - journals.plos.org
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 …