In recent years, machine learning methods has been widely used in various fields, such as
finance, spatial sciences, smart grid, intelligent transportation, renewable energy …

The prediction of stock index movement is considered a rather significant objective in the
financial world, since a reasonably accurate prediction has the possibility of gaining profit in …

This study introduces a novel approach for EUR/USD exchange rate forecasting that
integrates deep learning, textual analysis, and particle swarm optimization (PSO). By …

Accurate forecasting of the EUR/USD exchange rate is crucial for investors, businesses, and
policymakers. This paper proposes a novel framework, IUS, that integrates unstructured …

The FOREX marketplace has seen sudden boom during last couple of decades. The
changes carry out a critical function in balancing the dynamics of the marketplace. As a …

Time series data from the financial and forex sectors are highly stochastic in nature, implicitly
involving a variety of factors. They are usually a combination of linear and nonlinear partial …

Phishing attacks have become increasingly and it is a serious threat to security of the user
information. It targets unsuspecting individuals through deceptive websites that appear to be …

In this ever-changing world, cloud computing will definitely play a vital role in our daily life as
everything is going to be mapped on it. In this paper, we have considered the cloud …

The results of the prediction of business and economic characteristics provide valuable
information to stakeholders (business owners and managers, investors, and shareholders) …

The market for used cars is a dynamic and ever-expanding industry, with various factors
influencing the pricing of pre-owned vehicles. Accurate pricing is crucial for both buyers and …