Fog and cloud computing are emerging paradigms that enable distributed and scalable data
processing and analysis. However, these paradigms also pose significant challenges for …

Fog computing has emerged as a prospective paradigm to address the computational
requirements of IoT applications, extending the capabilities of cloud computing to the …

Predicting cutting tool remaining life is important to sustainable machining. Accurate wear
assessment improves efficiency, reduces waste, and lowers costs by minimizing tool failure …

Considering the significant growth of the Internet of Things network in recent years, the
volume of requests sent to cloud servers was predicted to increase. Therefore, to solve the …

The evolution of artificial intelligence has thrust the Online Judge (OJ) systems into the
forefront of research, particularly within programming education, with a focus on enhancing …

Due to technological advancements, most devices are generating a significant amount of
data which needs appropriate technology to handle the data generated by IoT devices. Fog …

Summary The Internet of Things (IoT) and fog computing (FC) can be integrated to manage
massive data processing and complex networks. It can improve communication performance …

In recent decades, fog computing has played a vital role in executing parallel computational
tasks, specifically, scientific workflow tasks. In cloud data centers, fog computing takes more …

Optimization plays a vital role in science and engineering. Nonlinear problems demand
optimized solutions, traditional Algorithms fail to solvethese kinds of problems. A Recent …

Fog computing is one of the efficient technologies used for overcoming the issues related to
handling large quantities of Heterogeneous Internet of Things (HIoT) data like distributed …