Rule-based classification in the field of health care using artificial intelligence provides
solutions in decision-making problems involving different domains. An important challenge …

Anomaly detection deals with identification of items that do not conform to an expected
pattern or items present in a dataset. The performance of the various mechanisms that are …

Abstract The application of Bees Algorithm in wrapper feature selection (BAFS) has been
implemented but yet too far from perfect and has few weaknesses. The algorithm performs …

Identifying defects and classifying them according to some predefined classes is common in
many manufacturing processes. The basis of such approach depends on a set of features …

This work aims to improve the performance of the Bees Algorithm (BA), particularly in terms
of simplicity, accuracy, and convergence. Three improvements were made in this study as a …

Abstract The Multi-layer Perceptron (MLP) is extensively used in solving real-world
problems. Backpropagation (BP) is often employed to deal with training data in MLP …

Bees Algorithm (BA), a heuristic optimization procedure, represents one of the fundamental
search techniques is based on the food foraging activities of bees. This algorithm performs a …

In order to lower the danger of a company failing, research in the area of bankruptcy
prediction is still being done. New effective models are being developed employing a variety …

The advanced of Information Technology has resulting in the generation of numerous
datasets with different dimensions. However, dealing with multidimensional datasets which …

In the field of bankruptcy prediction, this work focuses on developing a trustworthy prediction
model to address issues with data imbalance and the removal of unnecessary information …