This paper engages in a comprehensive investigation concerning the application of
Explainable Artificial Intelligence (xAI) within the context of deep learning and Artificial …

In recent years, a new discipline known as Explainable Artificial Intelligence (XAI) has
emerged, which has followed the growing trend experienced by Artificial Intelligence over …

In today's critical domains, the predominance of black-box machine learning models
amplifies the demand for Explainable AI (XAI). The widely used SHAP values, while …

The number of diabetes sufferers increases from year to year, both in terms of number of
cases and prevalence. Adults with diabetes also have a two-to three-fold increased risk of …

The metaverse—a 3D virtual universe is expected to significantly impact the education
sector by making learning more accessible, personalized, and fun. The advancements in AI …

Surface electromyography (sEMG) based gesture recognition shows promise in enhancing
human-robot interaction. However, accurately recognizing similar gestures is a challenging …

In the field of deep learning, understanding the rationale behind an automatic system's
decisions is essential for building users' trust and ensuring accountability. In this regard …

This study investigates the integration and utilization of diverse data forms within consumer
electronics, with a particular emphasis on Internet of Things (IoT) technologies. We introduce …

The advent of black-box deep neural network classification models has sparked the need to
explain their decisions. However, in the case of generative AI such as large language …

Explainable artificial intelligence (XAI) techniques are used to understand the rationale
behind the decision-making of machine learning models. In addition to the need for model …