Artificial intelligence and machine learning in combating illegal financial operations: Bibliometric analysis
S Lyeonov, V Draskovic, Z Kubaščikova… - Human …, 2024 - ht.csr-pub.eu
Money launderers and corrupt entities refine methods to evade detection, making artificial
intelligence (AI) and machine learning (ML) essential for countering these threats. AI …
intelligence (AI) and machine learning (ML) essential for countering these threats. AI …
Cognitive mapping of the economy of trust
The concept of trust has been extensively explored by governments, researchers, and
academic communities focusing on public authorities and the financial system, albeit in …
academic communities focusing on public authorities and the financial system, albeit in …
NEW AML TOOLS: ANALYZING ETHEREUM CRYPTOCURRENCY TRANSACTIONS USING A BAYESIAN CLASSIFIER
С Лєонов, М Тумпач, Г Лоскоріх, Г Філатова… - Financial and credit …, 2024 - fkd.net.ua
The emergence of cryptocurrencies as a form of digital payments has contributed to the
emergence of numerous opportunities for the implementation of effective and efficient …
emergence of numerous opportunities for the implementation of effective and efficient …
CORRUPTION RISKS IN THE CONTEXT OF REGIONAL FINANCIAL SECURITY: ANALYSIS BASED ON KOHONEN NEURAL NETWORKS
H Filatova, S Lyeonov, Y Reshetniak - Socio-economic relations in the …, 2024 - ser.net.ua
During the war, threats to national security related to illegal financial transactions with the
aggressor country, circumvention of sanctions, fraud in the distribution of investment and …
aggressor country, circumvention of sanctions, fraud in the distribution of investment and …