Meta-heuristic algorithms are problem-solving methods which try to find good-enough
solutions to very hard optimization problems, at a reasonable computation time, where …

Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …

Heart failure (HF) has been considered as one of the deadliest human diseases worldwide
and the accurate prediction of HF risks would be vital for HF prevention and treatment. To …

Enormous data growth in multiple domains has posed a great challenge for data processing
and analysis techniques. In particular, the traditional record maintenance strategy has been …

Abstract Efficient prediction of Open Pit mining blast induced ground vibration, has an
important role in reduction of the environmental complaints. This paper proposed a new …

In this paper, two hybrid models are used for timing of the stock markets on the basis of the
technical analysis of Japanese Candlestick by Support Vector Machine (SVM) and Heuristic …

Purpose In this study, the central objective is to foresee stock market signals with the use of
a proper structure to achieve the highest accuracy possible. For this purpose, three hybrid …

Today the accurate prediction of stock price movement is one of the most effective tools for
investors. This prediction becomes more challenging when the stock market is naturally …

Blasting technology is widely used to prevent coal bursts by presplitting the overburden in
underground coal mines. The control of blasting intensity is important in achieving the …

Purpose In this research, the main purpose is to use a suitable structure to predict the
trading signals of the stock market with high accuracy. For this purpose, two models for the …