The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based
optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary …

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Accurate prediction of solar energy is an important issue for photovoltaic power plants to
enable early participation in energy auction industries and cost-effective resource planning …

In this research, the number of patients with Covid-19 and the number of deaths due to this
disease in France, Germany, Iran, Italy, Spain, United Kingdom, and Unites States America …

Establishing accurate and reliable models based on the measured data for photo-voltaic
(PV) modules are significant to design, control and evaluate the PV systems. Although many …

In the past decades, the rapid growth of computer and database technologies has led to the
rapid growth of large-scale medical datasets. On the other, medical applications with high …

Feature selection represents an essential pre-processing step for a wide range of Machine
Learning approaches. Datasets typically contain irrelevant features that may negatively …

The adoption of computer-aided stock trading methods is gaining popularity in recent years,
mainly because of their ability to process efficiently past information through machine …

Although the multi-layer perceptron (MLP) neural networks provide a lot of flexibility and
have proven useful and reliable in a wide range of classification and regression problems …

Radiological methodologies, such as chest x-rays and CT, are widely employed to help
diagnose and monitor COVID-19 disease. COVID-19 displays certain radiological patterns …