Since the middle of the twentieth century, artificial intelligence (AI) models have been used
widely in engineering and science problems. Water resource variable modeling and …

A stock market crash is a drop in stock prices more than 10% across the major indices. Stock
crisis prediction is a difficult task due to more volatility in the stock market. Stock price sell …

Automated textual analysis of firm-related documents has become an important decision
support tool for stock market investors. Previous studies tended to adopt either dictionary …

In this paper, we provide methods for creatively incorporating information from financial
news and Twitter feeds into predicting the prices of a portfolio of stocks, using the framework …

Global solar radiation prediction is highly desirable for multiple energy applications, such as
energy production and sustainability, solar energy systems management, and lighting tasks …

The development of Artificial Neural Networks (ANNs) is traditionally a slow process in
which human experts are needed to experiment on different architectural procedures until …

In service industry application, there is vague and qualitative information required to be
processed properly, for example, to identify customer preferences in order to provide …

The flood mechanism and inundation behavior of a watershed in the Pothowar (semi-hilly)
region of Pakistan was investigated by computer modeling. The Lai Stream Basin has an …

The combined application of several soft-computing and statistical techniques is proposed
for the characterization of atmospheric conditions in two European regions: Madrid (Spain) …

A novel global optimization method is proposed to find global minimal points more
effectively and quickly. The new algorithm is based on both genetic algorithms (GA) and …