Artificial intelligence & crime prediction: A systematic literature review

F Dakalbab, MA Talib, OA Waraga, AB Nassif… - Social Sciences & …, 2022 - Elsevier
The security of a community is its topmost priority; hence, governments must take proper
actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in …

Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices

MA Rahman, N Zaman, AT Asyhari… - Sustainable cities and …, 2020 - Elsevier
The COVID-19 disease has once again reiterated the impact of pandemics beyond a
biomedical event with potential rapid, dramatic, swee** disruptions to the management …

Socioeconomic development aspects of democratic governance across selected countries

BF Yıldız, AA Alola, WK Wong - Democracy and Security, 2023 - Taylor & Francis
There is a need to question the main socioeconomic, political, and cultural aspects of crime
rates in a cross-country context. In this context, Dumitrescu and Hurlin's (2012) Granger …

Applications of machine learning in knowledge management system: a comprehensive review

CGK Simon, NZ Jhanjhi, WW Goh… - Journal of Information & …, 2022 - World Scientific
As new generations of technology appear, legacy knowledge management solutions and
applications become increasingly out of date, necessitating a paradigm shift. Machine …

Fake news detection using a blend of neural networks: An application of deep learning

A Agarwal, M Mittal, A Pathak, LM Goyal - SN Computer Science, 2020 - Springer
Fake news and its consequences carry the potential of impacting different aspects of
different entities, ranging from a citizen's lifestyle to a country's global relations, there are …

[KSIĄŻKA][B] Macrocriminology and freedom

J Braithwaite - 2022 - library.oapen.org
How can power over others be transformed to'power with'? It is possible to transform many
institutions to build societies with less predation and more freedom. These stretch from …

[PDF][PDF] Machine learning-based soft computing regression analysis approach for crime data prediction

RM Aziz, A Hussain, P Sharma, P Kumar - Karbala International Journal of …, 2022 - iasj.net
The crime rate in India is considerably increasing day by day. Consequently, the data
associated with crime is also increasing, opening doors for data-driven approaches to these …

Machine learning algorithms for crime prediction under Indian penal code

RM Aziz, P Sharma, A Hussain - Annals of data Science, 2024 - Springer
In this paper, the authors propose a data-driven approach to draw insightful knowledge from
the Indian crime data. The proposed approach can be helpful for police and other law …

Crime prediction and monitoring in porto, portugal, using machine learning, spatial and text analytics

M Saraiva, I Matijošaitienė, S Mishra… - … International Journal of …, 2022 - mdpi.com
Crimes are a common societal concern impacting quality of life and economic growth.
Despite the global decrease in crime statistics, specific types of crime and feelings of …

Image segmentation using deep learning techniques in medical images

M Mittal, M Arora, T Pandey, LM Goyal - Advancement of machine …, 2020 - Springer
Nowadays, medical field is a one with a need for paramount concern and research where
medical sciences are at a stage that needs extensive research and technical proposals so …