In recent times, artificial intelligence (AI) has been generating a significant impact in various
industry sectors, which implies that companies must be ready to adjust to this promising start …

With the rapid development of social economy and the continuous improvement of stock
market, stock investment has become more and more widely concerned. Stock price …

Stock price prediction using machine learning is a rapidly growing area of research.
However, the large number of features that can be used can complicate the learning …

Forecasting stock price movement direction (SPMD) is an essential issue for short-term
investors and a hot topic for researchers. It is a real challenge concerning the efficient …

At present, time series prediction methods are widely applied for Human–Computer
Intelligent Systems in various fields such as Finance, Meteorology, and Medicine. To …

Despite substantial advances in network architecture performance, the susceptibility of
adversarial attacks makes deep learning challenging to implement in safety-critical …

A countless number of artificial intelligence applications exist in a wide range of fields. The
artificial intelligence (AI) technology is becoming mature, free powerful libraries enable …

Stock return forecasting is a major component of numerous finance applications. Predicted
stock returns can be incorporated into portfolio trading algorithms to make informed buy or …

Forecasting electricity consumption is vital, it guides policy makers and electricity distribution
companies in formulating policies to manage production and curb pilfering. Accurately …

The main purpose of this study is to develop a new discrete time stochastic ProFiVaS model
based on decomposition of stochastic Vasicek differential equation which follows bouncing …