Context: Recently, the machine learning (ML) field has been rapidly growing, mainly owing
to the availability of historical datasets and advanced computational power. This growth is …

Deep learning models have gained a reputation of high accuracy in many domains.
Convolutional Neural Networks (CNN) are specialized towards image recognition and have …

Customer churn is a significant concern, and the telecommunications industry has the
largest annual churn rate of any major industry at over 30%. This study examines the use of …

Fibrillar dry adhesives are widely used due to their effectiveness in air and vacuum
conditions. However, their performance depends on various factors. Previous studies have …

In recent years, Explainable Artificial Intelligence (XAI) has attracted considerable attention
from the research community, primarily focusing on elucidating the opaque decision-making …

Artificial intelligence (AI) is used for various purposes that are critical to human life. However,
most state-of-the-art AI algorithms are black-box models, which means that humans cannot …

Purpose Neuro-fuzzy systems aim to combine the benefits of artificial neural networks and
fuzzy inference systems: a neural network can learn patterns from data and achieves high …

Breast cancer is the most common type of cancer among women. Thankfully, early detection
and treatment improvements helped decrease the number of deaths. Data Mining …

This study investigates the Shapley additive explanation (SHAP) of the extreme boosting
(XGBoost) model for breast cancer diagnosis. The study employed Wisconsin's breast …

Breast cancer remains a leading cause of cancer-related mortality among women
worldwide, necessitating early and accurate detection for effective treatment and improved …