In the vast sea of information, the powerful ability of machine learning (ML) algorithms to
identify specific objects through goal guidance makes them stand out from the many …

In the era of digital economy research and analysis industry is prepared for tumult. The
multiple topics evolved towards modern business approaches that led to several disruptions …

This study aims to identify what determines the use of biometric technologies in the financial
applications of banks and FinTechs. The analysis uses data from a survey of 1,000 adult …

Enterprise financial risk refers to the loss to the company caused by various difficult or
uncontrollable factors in the production and operation process, which leads to the decline of …

Finance is the blood of modern economy, today's world is an era of economic globalization,
there is a profound connection and influence between the world's economies. Financial risks …

Abstract The Internet of Things (IoT) is one technology that can revolutionize traditional
methods and transform sports infrastructure. To promote the adoption of IoT effectively, it's …

Adaboost (Adaptive Boosting) algorithm is an ensemble learning method, which combines
multiple weak classifiers to build a strong classifier, and improves the performance of the …

Imbalance modeling of financial risk control refers to a situation where the sample in the
data set is unbalanced due to various factors, such as the credit level and repayment ability …

The financial risk dynamic simulation system is a computer based, artificial intelligence
based system designed to predict and control financial risks by simulating the …