Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …

Early detection of heart complications is highly effective in treating patients with
cardiovascular diseases. Various machine learning methods have previously been used for …

Polycystic Ovary Syndrome (PCOS) is a complex disorder predominantly defined by
biochemical hyperandrogenism, oligomenorrhea, anovulation, and in some cases, the …

Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …

Osteoporosis is a metabolic bone condition that occurs when bone mineral density and
mass decrease. This makes the bones weak and brittle. The disorder is often undiagnosed …

Abstract Objective Explainable Artificial Intelligence (XAI) is increasingly recognized as a
crucial tool in cancer care, with significant potential to enhance diagnosis, prognosis, and …

The primary cause of death worldwide is heart disease, which claims more lives than
cancer. Furthermore, the prevalence of individuals encountering progressive heart failure is …

This study undertakes a comprehensive analysis of cervical cancer diagnosis using
machine learning (ML) techniques. We start by introducing the critical importance of early …

UTI (Urinary Tract Infection) has become common with maximum error rates in diagnosis.
With the current progress on DM (Data Mining) based algorithms, several research projects …

In this study, we propose a novel traffic sign detection algorithm based on the deeplearning
approach. The proposed algorithm, which we termed the feature-selection-based …