This comparative study is an attempt to explore the determinants of capital structure for
Malaysian firms listed in various sectors level. Within the framework of traditional and …

This study applies SERVQUAL analysis to measure the service quality offered by Indian
banking sector in the Indian state of Rajasthan. This study was performed 5 years after the …

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 …

The current project cost system requires high data scale, small amount of data and large
prediction deviation. In order to improve the prediction accuracy of the whole process cost of …

Inarguably, saving is very important for the life of a senior citizen. Artificial neural network
(ANN) and multiple linear regression (MLR) analyses have been successfully used to …

In the present study, we have compared the artificial neural network model with multiple
linear regression model for the prediction of noise levels in industrial zone of Lucknow. We …

Hidden layers are critical to the performance of neural network architecture, especially in
complicated issues where the accuracy and the time complexity are the main constraints …

Neurons in artificial neural networks are assembled in three layers: input layer, hidden layer
and output layer. Determination of a reliable number of hidden neurons in hidden layer is …

The persistent expansion of e-commerce and financial technology in last few decades has
accelerated the use of mobile technology and innovative payment methods which has …

Long-term exposure to high noise levels causes lifelong hearing loss, stress, heart disease,
and high blood pressure. For this study, we took into account climatic factors that have a …