Customer churn is a serious problem, which is a critical issue encountered by large
businesses and organizations. Due to the direct impact on the company's revenues …

In recent malaria research, the complexity of the disease has been explored using machine
learning models via blood smear images, environmental, and even RNA-Seq data …

Uterine fibroids (UF), also known as uterine leiomyomas, uterine myomas, or fibromas, are
benign monoclonal tumours and remain the most common gynaecological disorder in …

INTRODUCTION: Customer churn is a severe problem of migrating from one service
provider to another. Due to the direct influence on the company's sales, companies are …

Cryptocurrencies like Bitcoin are a contentious and difficult technological innovation in
today's financial system. With huge improvements in financial markets, machine learning …

Abstract Machine learning algorithms can be utilized to tackle genomic challenges in
biological systems, such as identifying therapeutic targets for drug development and …

Background A systematic literature review (SLR) is a research methodology that examines
data and findings of other authors relative to specified research questions (RQ), collects …

Explainable Machine Learning (XML) approaches are crucial for medical information
processing tasks, particularly for multi-omics data analytics. The XML system not only …

Online shopping has become one of the alternatives used by society today. This happens
because doing online shopping saves a lot of time. There are many online shops in …

The integration of computational and genomic methodologies has instigated a
transformation in the realm of livestock breeding, enabling the utilization of sophisticated …