Detection of cracks in solar photovoltaic (PV) modules is crucial for optimal performance and
long-term reliability. The development of convolutional neural networks (CNNs) has …

Melanoma, the deadliest form of skin cancer, is on the rise. The goal of this study is to
present a deep learning system implementation for the detection of melanoma lesions on a …

An epileptic seizure is the external manifestation of abnormal neuronal discharges, which
seriously affecting physical health. The pathogenesis of epilepsy is complex, and the types …

As the world continues to battle the devastating effects of the COVID-19 pandemic, it has
become increasingly crucial to screen patients for contamination accurately and effectively …

In recent years, the realms of computer vision and deep learning have ushered in
transformative changes across various domains. Among these, deep learning stands out for …

The integration of deep learning techniques in pediatric neuroimaging has shown significant
promise in advancing various aspects of the field. This paper provides a comprehensive …

In light of the fact that the global pandemic of Coronavirus Disease 2019 (COVID-19) is still
having a significant impact on the health of people all over the world, there is a growing …

Presently, the world is progressing towards the notion of smart and secure cities. The
automatic recognition of human activity is among the essential landmarks of smart city …

Abstract The Internet of Things (IoT) is a cutting-edge innovation that facilitates the cost-
effective development of smart system architectures. Although current regulations …

Chaotic systems have become widely adopted as an effective way for secure data
communications, because of its simple mathematical complexity and good security. The …