Network operation and maintenance rely heavily on network traffic monitoring. Due to the
measurement overhead reduction, lack of measurement infrastructure, and unexpected …

Traffic information can be used for real-time traffic management and long-term transportation
planning to increase traffic efficiency and safety. However, data containing both missing and …

Urban traffic anomaly diagnosis is crucial for urban road management and smart city
construction. Most existing methods perform anomaly detection from a data-driven …

Network traffic engineering and anomaly detection rely heavily on network traffic
measurement. Due to the lack of infrastructure to measure all points of interest, the high …

Network traffic measurement is regarded as the bedrock of next-generation network
systems. Its purpose is to monitor the network traffic and provide data support for traffic …

This paper presents a novel probability-weighted tensor robust principal component
analysis (TRPCA) method based on CANDECOMP/PARAFAC decomposition (CPD) for …

Detecting anomalous traffic is a crucial task for network management. Although many
anomaly detection algorithms have been proposed recently, constrained by their matrix …

Network measurements provide critical inputs for a wide range of network management.
Existing network-wide monitoring methods face the challenge of incurring a high …

Traffic data plays a vital action in transportation study and implantation, including forecasting
travel times, designing travelling routes, and alleviating traffic congestion. When collecting …

Network distance measurement is crucial for evaluating network performance, attracting
significant research attention. However, conducting measurements for the entire network is …