Purpose The authors of this research present a study on Mmobile learning (ML) and the
communication processes that are generated in different educational and professional …

Mobile learning (m‐learning) adoption has increased and shall be demonstrated superior
performance by implementing related computing paradigms, such as IoT, edge, mobile …

The key to communication is being digitalized every day, in order to keep up with technology
everyone needs to update their skillset with it. A campus network is connected to us more …

This article aims to design a novel edge-centric hierarchical cloud architecture to optimize
mobile learning (m-learning) performance during learners executing computation-intensive …

The rapid digitalization of communication necessitates continuous skill updates to keep
pace with evolving technology. Network management involves multiple functionalities that …

Fragmentation Learning based on intelligent mobile terminals can generate a large amount
of mobile learning trajectory data, and the network formed by these mobile terminals is a …

Wireless internet are among the fastest-growing segment of the communication industry. It is
absolutely necessitated for future wireless internet to reach all terrestrial and aerial spaces …

Text generated image algorithm is an advanced image generation technology, which has
been used to create countermeasure networks. It uses the principle of text generation and …

This paper utilizes a correlation-based smart prediction model to construct a smart teaching
model for mental health. In the ABaisSvd model, the GD algorithm is used to iteratively …