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 …

A study on predicting crime rates through machine learning and data mining using text

RM Saeed, HA Abdulmohsin - Journal of Intelligent Systems, 2023 - degruyter.com
Crime is a threat to any nation's security administration and jurisdiction. Therefore, crime
analysis becomes increasingly important because it assigns the time and place based on …

A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages

N Khairova, O Mamyrbayev, N Rizun, M Razno… - IEEE …, 2023 - ieeexplore.ieee.org
These days, a lot of crime-related events take place all over the world. Most of them are
reported in news portals and social media. Crime-related event extraction from the …

Assessing the risk of repeat victimization using structured and unstructured police information

R Geurts, N Raaijmakers, MJMH Delsing… - Crime & …, 2023 - journals.sagepub.com
Following the EU Victim Directive, Dutch police officers are obliged to assess a victim's
vulnerability to repeat victimization. This study explored the utility of unstructured police …

Exploring offending characteristics of young people with foetal alcohol spectrum disorder in Western Australia

GKY Tan, CF Pestell, J Fitzpatrick, D Cross… - … , Psychology and Law, 2023 - Taylor & Francis
Neurodevelopmental impairments resulting from Foetal Alcohol Spectrum Disorder (FASD)
can increase the likelihood of justice system involvement. This study compared offence …

Examine Website Defacement Dataset by Exploiting Some Classifiers' Capabilities

EIM Zayid, I Isah, YA Adam, NAA Farah, OA Alshehri - 2023 - preprints.org
Website defacement is an illegal electronic act of changing a website. In this paper, robust
machine learning classifiers' capabilities were exploited to select the best input feature set …

A Study of Lightweight Approaches to Analyze Crime Conditions in India

B Saini, DK Saini, S Srivastava… - Journal of Applied …, 2023 - Taylor & Francis
Crime prediction is an effort to cut down the crime rate and criminal activities in the society.
This paper concentrates on monitoring the crime trends in India using data from 2001 to …

Improving Problem-Oriented Policing with Natural Language Processing

AC Dixon - 2023 - etheses.whiterose.ac.uk
The policing approach known as Problem oriented policing (POP) was outlined by Herman
Goldstein in 1979. Despite POP being shown as an effective method to reduce crime it is …

Research on the psychological classification of violent crime based on a convolutional neural network

H Li, G Gao, K Xiao, S Song - Journal of Ambient Intelligence and …, 2023 - Springer
This paper uses a text classification algorithm in the context of criminal psychology to
scientifically evaluate the correctional effects among offenders in the hopes of preventing …

Integrating knowledge-driven and data-driven methodologies for an efficient clinical decision support system

OU Obot, KF Attai, GO Onwodi - … Perspectives and State-of-the-Art …, 2023 - igi-global.com
Clinical decision support systems (CDSSs) symbolize a significant transformation in
healthcare delivery. CDSS enhances healthcare delivery by enabling personnel in medical …