Accurate real‐time traffic prediction is required in many networking applications like dynamic
resource allocation and power management. This paper explores a number of predictors …

Wireless mesh network is prevalent for providing a decentralized access for users. For a
wireless mesh backbone network, it has obtained extensive attention because of its large …

Network traffic analysis has been one of the most crucial techniques for preserving a large-
scale IP backbone network. Despite its importance, large-scale network traffic monitoring …

Network traffic matrix prediction is a methodology of predicting network traffic behavior
ahead of time in order to improve network management and planning. Different neural …

Traffic matrix (TM) is a critical information for network operation and management, especially
for traffic engineering (TE). Due to the technical and mercantile problems, real time …

The integration of infectious disease modeling with the data collection process is crucial to
reach its maximum potential, and remains a significant research challenge. Ensuring a solid …

Network traffic monitoring plays a crucial role in maintaining the security and reliability of the
communication networks. Although Machine Learning (ML) assisted abnormal traffic …

There is substantial demand for high network traffic due to the emergence of new highly
demanding services and applications such as the internet of things (IoT), big data …

Traffic Matrix (TM) prediction is defined as the problem of estimating future network traffic
matrices based on historical network traffic data. It is widely applied in network planning …

Seen from the Internet Service Provider (ISP) side, network traffic monitoring is an
indispensable part during network service provisioning, which facilitates maintaining the …