Nowadays, class imbalance problem is one of the most important affairs among machine
learning and data mining researchers. In this problem, majority of the sample data are …

The applications of machine learning have now reached variety of industries, including
banking and financial organisations. While credit approval is a key concern of the banking …

Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …

The academic performance of the students is one of the critical aspects in ranking
educational institutions, particularly at the secondary level. If the student's performance is not …

Purpose This paper aims to evaluate the performance of the multiple linear regression
(MLR) using a fixed-effects model (FE) and artificial neural network (ANN) models to predict …

An advancement in the paradigm of machine learning has been acclaimed by the arrival of
semi-supervised learning. In real life, it is challenging to get enough labeled samples. On …

The importance of agricultural earnings and employment in most countries has decreased
with time. That is also true for Bangladesh. Farmers usually design the cultivation process …

The importance of technology and managerial risk management in banks has increased due
to the financial crisis. Banks are the most affected since there are so many of them with poor …

Stock price prediction is the technique of predicting the future values of a stocks or other
financial instruments traded on any exchange. Stock price prediction using machine …

Banks are the most powerful economic stimulants, and they play a crucial role in state
economic development since they control the supply of currency in circulation to a …