Class imbalance (CI) in classification problems arises when the number of observations
belonging to one class is lower than the other. Ensemble learning combines multiple models …

The rapid advancement of technologies has pushed for additional enhancements to banking
and other credit platforms. While assisting small and medium sized business in lowering …

In this systematic review of the literature on using Machine Learning (ML) for credit risk
prediction, we raise the need for financial institutions to use Artificial Intelligence (AI) and ML …

Against the backdrop of the booming supply chain finance and logistics industry, Logistics
4.0 has emerged. However, the financing capacity of today's logistics companies is still …

Businesses are using autonomous monitoring and surveying systems in increasing numbers
since they enhance the efficiency of the business overall and dramatically cut the expense of …

Purpose This study aims to outline the influence of various combinations of antecedent
conditions for startups being accepted into business incubators in Italy and Romania. The …

Recently, there has been a growing trend in incorporating Artificial Intelligence (AI) into
financial decision-making, prompting concerns about the transparency and accountability of …

This paper forecasts the price dynamics of carbon futures in the form of return under the EU
emission trading scheme by using an attention mechanism based long short-term memory …

In today's complex and ever‐changing world, a distribution network in lending impact
analysis is an evaluation of a client's procedures, rules, and financial well‐being to evaluate …

Credit default prediction for the energy industry is essential to promoting the healthy
development of the energy industry in China. While previous studies have constructed …