The detection and diagnosis of early-stage lung cancer pose significant challenges due to
its asymptomatic nature. Relying on computed tomography (CT) scans for lung examination …

The significance of digital twins in the design and development of smart cities is becoming
increasingly crucial within the current urban environment. This abstract examines the …

In this ambitious project, the primary goal is to harness the power of cutting-edge neural
networks, specifically ResNet50 and MobileNetV2, to discern between cancerous and …

The ever-expanding landscape of the Internet of Medical Things (IoMT) is increasingly
reliant on Federated Learning (FL) to construct cooperative, privacy-centric AI models. By …

The fourth phase of the Industrial Revolution-Industry 4.0-has ameliorated how companies
“think and act” today. The focus has now shifted towards fostering faster and smarter …

Artificial intelligence (AI) has revolutionized multiple sectors through its growth and
diversification, notably with the concept of collaborative learning. Among these …

This study uses an organized experimental methodology to assess the security and
robustness of blockchain-integrated systems within the framework of Industry 5.0. The R&D …

The environmental impacts of industrial processes in the Industry 4.0 ecosystem represent a
pressing and multifaceted challenge in today's rapidly evolving industrial landscape. As …

With reference to computer vision, visual object tracking is described as a deep learning
mechanism where the object movement is traced by an algorithm. The algorithm is a tracker …

The term “digital twin” refers to biological and simulated devices or system-based
representatives emulating, tomography, or “twinning” the lifecycle of a bodily commodity …