Anomaly detection is a significant problem that has been studied in a broader spectrum of
research areas due to its diverse applications in different domains. Despite the usage of …

The purpose of this research is to provide power grid energy efficiency solutions. In this
paper, a comprehensive review and its optimal solution is proposed considering the various …

Medical datasets are usually imbalanced, where negative cases severely outnumber
positive cases. Therefore, it is essential to deal with this data skew problem when training …

Breast Cancer is one of the most prevalent tumors after lung cancer and is common in both
women and men. This disease is mostly asymptomatic in the early stages thus detection is …

Financial threats are displaying a trend about the credit risk of commercial banks as the
incredible improvement in the financial industry has arisen. In this way, one of the biggest …

Developing a prediction model from risk factors can provide an efficient method to recognize
breast cancer. Machine learning (ML) algorithms have been applied to increase the …

Background: Breast cancer is considered one of the most common cancers in women
caused by various clinical, lifestyle, social, and economic factors. Machine learning has the …

Malignant mesothelioma (MM) is a rare cancer type arising from mesothelial cells. The
current clinical diagnosis is based on contrast-enhanced computed tomography, magnetic …

Globally, coal remains one of the natural resources that provide power to the world.
Thousands of people are involved in coal collection, processing, and transportation …

The area of corporate bankruptcy prediction attains high economic importance, as it affects
many stakeholders. The prediction of corporate bankruptcy has been extensively studied in …