Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

It has been widely acknowledged that future networks will need to provide significantly more
capacity than current ones in order to deal with the increasing traffic demands of the users …

Cellular networks have evolved to support high peak bitrates with low loss rates as observed
by the higher layers. However, applications and services running over cellular networks are …

Web applications are ubiquitous, perform mission-critical tasks, and handle sensitive user
data. Unfortunately, web applications are often implemented by developers with limited …

The Internet provides a platform for rapid and timely information exchange among a
disparate array of clients and servers. TCP and IP are separately designed and closely tied …

Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …

The 5G mobile communication system is attracting attention as one of the most suitable
communication models for broadcasting and managing disaster situations, owing to its large …

Mobile data networks such as 3G and LTE exhibit properties that are fundamentally different
from those of fixed networks. These differences result in severe performance bottlenecks in …

Many analytical and simulation-based studies of TCP performance in wireless environments
assume an error-free and congestion-free reverse channel that has the same capacity as the …

Applications using traditional protocol stacks (eg, TCP/IP) from wired networks do not
function efficiently in mobile wireless environments. This is primarily due to the layered …