Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

This paper provides a review on machine learning methods applied to the asset
management discipline. Firstly, we describe the theoretical background of both machine …

Presently, the use of a credit card has become an integral part of contemporary banking and
financial system. Predicting potential credit card defaulters or debtors is a crucial business …

The prediction of the use of electric power is very important to maintain a balance between
the supply and demand of electric power in the power generation system. Due to a …

The prediction of earnings movement is used to evaluate corporate performance and make
investment decisions. This study presents a detailed model for predicting the movement of …

This paper proposes and examines the performance of a hybrid model called the wavelet
radial bases function neural networks (WRBFNN). The model will be compared its …

Financial technology (FinTech) platforms often exclude certain countries from their services
due to global political conflicts. As a result, immigrants from these neglected countries …

With the increasing popularity of stock trading, individuals, and financial entities such as
investment companies, hedge funds, and retail investors are actively participating in the …

At the end of 2019, a new virus called coronavirus has globally spread causing severe
effections. In this paper, an artificial intelligence (AI) method is proposed to predict numbers …

Inflation is one indicator to measure the development of a nation. If inflation is not controlled,
it will have a lot of negative impacts on people in a country. There are many ways to control …