In this article, a comprehensive overview of the Crow Search Algorithm (CSA) is introduced
with detailed discussions, which is intended to keep researchers interested in swarm …

Abstract Crow Search Algorithm (CSA) is a recent swarm intelligence optimization algorithm
inspired by the social intelligent behavior of crows for hiding food. It has been widely used to …

In this paper, for the first time, a feature selection procedure is modeled as a multi-criteria
decision making (MCDM) process. This method is applied to a multi-label data and we have …

Abstract The Elman neural network (ElmanNN) is well-known for its capability of processing
dynamic information, which has led to successful applications in stock forecasting. In this …

Predicting trends in the stock market is becoming complex and uncertain. In response,
various artificial intelligence solutions have emerged. A significant solution for predicting the …

The accumulation of large amounts of historical data has led to the wide application of
ensemble learning over the past few decades, but the balance between the individual …

Stock market prediction is considered as an important yet challenging aspect of financial
analysis. The difficulty of forecasting arises from volatile and non-linear nature of stock …

Robotic assembly line outperforms labor assembly line in terms of efficiency and flexibility.
This paper focuses on the mixed-model U-shaped robotic assembly line balancing and …

Prediction with higher accuracy is vital for stock market prediction. Recently, considerable
amount of effort has been poured into employing machine learning (ML) techniques for …

Recommendation systems play an indispensable role in tourists' decision-making process.
An important issue for tourists concerns the selection of accommodation in accordance with …