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 …

Bitrate adaptation is critical in ensuring good users' quality-of-experience (QoE) in Internet
video delivery system. Several efforts have argued that accurate throughput prediction can …

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

Emerging technologies and applications make the network unprecedentedly complex and
heterogeneous, leading the network operations to be costly and risky. The digital twin …

Abstract Machine learning has seen a significant surge and uptake across many diverse
applications. The high flexibility, adaptability, and computing capabilities it provides extend …

In a TCP/IP network, a key to ensure efficient and fair sharing of network resources among
its users is the TCP congestion control (CC) scheme. Previously, the design of TCP CC …

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 …

Abstract Internet of Things (IoT) is a collection of billions of smart objects connected via
different types of communication media. Although IoT devices generate enormous data, they …

Machine learning (ML), and supervised learning in particular, can be used to learn what
makes it hard for a network to be feasible and try to predict whether a network configuration …

Graph neural network (GNN) is an advanced machine learning model, which has been
recently applied to encode Ethernet configurations as graphs and predict their feasibility in …