In recent years, fog computing has become a promising technology that supports
computationally intensive and time-sensitive applications, especially when dealing with …

The integration of machine learning (ML) into material manufacturing has driven
advancements in optimizing biopolymer production processes. ML techniques, applied …

Sensor networks generate vast amounts of data in real-time, which challenges existing
predictive maintenance frameworks due to high latency, energy consumption, and …

Abstract The Internet of Things (IoT) networks are poised to play a critical role in providing
ultra-low latency and high bandwidth communications in various real-world IoT scenarios …

Abstract In the Internet of Things (IoT) era, the demand for efficient and responsive
computing systems has surged. Edge computing, which processes data closer to the source …

Abstract Mobile Edge Computing (MEC) and Federated Learning (FL) have recently
attracted considerable interest for their potential applications across diverse domains. MEC …

Edge computing, by pushing resources closer to the network's edge, is revolutionizing data
processing, enabling real-time analysis and localized decision-making on resource …

Edge computing has emerged as a promising paradigm for addressing the latency,
bandwidth, and scalability challenges associated with traditional cloud-centric architectures …

Vehicular Edge-Cloud Computing (VECC) paradigm has emerged as a viable approach to
overcome the inherent resource limitations of vehicles by offloading computationally …

Abstract The Internet of Things (IoT) has revolutionized healthcare by interconnecting a wide
range of devices over the Internet. Cloud computing has traditionally fulfilled the …