This article presents a first end-to-end application of a quantum support vector machine
(QSVM) algorithm for a classification problem in the financial payment industry using the IBM …

The present work aims to apply the Internet of Things (IoT) to help enterprises improve
financial management, timely discover hidden financial risks, and enhance the ability to …

The study aims to improve the enterprise's ability to respond to financial crises and find
some countermeasures to prevent potential financial risks. The enterprise financial risk is …

Quantum computing has shown considerable promise for compute-intensive tasks in recent
years. For instance, classification tasks based on quantum neural networks (QNN) have …

This study examines the relationship between corporate digital transformation (CDT) and
environmental, social, and governance (ESG) performance. Based on resource‐based …

The process of global integration has accelerated, and the international financial market has
become increasingly closely linked. The financial risks that come with them are becoming …

The emerging field of Quantum Machine learning (QML), which offers noticeably faster
processing speed, is the result of the merger of Quantum Computing (QC) and Machine …

The strategy of rural revitalization is of great significance to the reconstruction of rural
economic growth, in which rural industries, represented by the integration and development …

A computer-implemented system, platform, method and computer program product for
optimizing a data analytics fraud prediction/detection pipeline that includes a combination of …

This research examines the pivotal role of Business Intelligence (BI) in Actuarial Accounting
(AA) within the banking sector, principally concentrating on its influence on generating risk …