Este artículo es el resultado de la revisión sistemática de la literatura de contabilidad y de
sistemas de información, enfocada en comprender los beneficios del uso de tecnologías …

Using the universe of Armenian business tax payers operating under a standard tax regime,
we develop a fraud prediction model based on machine learning tools, with gradient …

In this research, we have discussed biopsy; the biopsy is a medical procedure done by a
surgeon in which a patient is tested for expansion of the disease. We applied specific …

The work reports the systematic approach to the study of artificial intelligence (AI) in
addressing the complexity of inline inspection (ILI) data management to forecast the risk in …

Nowadays, financial frauds that are taking place across the globe generate much more
threats and thus have a thoughtful impact on the financial subdivision. Due to this fact …

Abstract Currently, Machine Learning (ML) seems very attractive since it may speed up
business functions in enterprises, lower costs for supplying goods and services, and …

All enterprises, regardless of industry, are exposed to fraud risk. In the retail industry, the
perpetrators of fraud manipulate the sales price of products instead of the quantity sold to …

Although the financial audit controls in companies have advanced over the years, the
number of corporate fraud instances is growing, thus raising the need for investigating the …

The paper explores advancements in accounting analytics using the logical analysis of data
(LAD) approach by identifying fraudulent firms and transactions. The straightforward …

Individuals and businesses are frequently seen engaging in a fraud scheme, which results
in the loss of funds, rights, and assets. This paper aims to provide an empirical analysis and …