Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …

Under several emerging application scenarios, such as in smart cities, operational
monitoring of large infrastructure, wearable assistance, and Internet of Things, continuous …

As a new term in the financial industry, FinTech has become a popular term that describes
novel technologies adopted by the financial service institutions. This term covers a large …

It is known that deeper and wider neural networks can achieve better accuracy. But it is
difficult to continue the trend to increase model size due to limited GPU memory. One …

Cloud Data Centers (CDCs) have become a vital computing infrastructure for enterprises.
However, CDCs consume substantial energy due to the increased demand for computing …

Implementing cloud computing empowers numerous paths for Web-based service offerings
to meet diverse needs. However, the data security and privacy has become a critical issue …

The exponential growing rate of the networking technologies has led to a dramatical large
scope of the connected computing environment. Internet-of-Things (IoT) is considered an …

The use of containers in cloud architectures has become widespread, owing to advantages
such as limited overheads, easier and faster deployment, and higher portability. Moreover …

The current work is related to present the solutions of the corneal shape-based eye surgery
model (CSESM) by applying the novel procedures of Gudermannian neural network (GNN) …

The substantial growth of the distributed computing using heterogeneous computing has
enabled great expansions in Cyber Physical Systems (CPS). Combining CPS with …