Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

In recent years, applications of convolutional neural networks (CNNs) to runoff prediction
have received some attention due to their excellent feature extraction capabilities. However …

In this paper, we generally formulate the dynamics prediction problem of various network
systems (eg, the prediction of mobility, traffic and topology) as the temporal link prediction …

The Coronavirus pandemic and the work-from-home have drastically changed the working
style and forced us to rapidly shift towards cloud-based platforms & services for seamless …

The volume of daily patient arrivals at Emergency Departments (EDs) is unpredictable and is
a significant reason of ED crowding in hospitals worldwide. Timely forecast of patients …

Monthly streamflow forecasting is vital for managing water resources. Recently, numerous
studies have explored and evidenced the potential of artificial intelligence (AI) models in …

Stability and task accomplishment of Internet-based teleoperation systems are greatly
susceptible to the network latency and uncertainty. Control of a teleoperation system aims to …

Network traffic analysis and predictions have become vital for monitoring networks. Network
prediction is the process of capturing network traffic and examining it deeply to decide what …

Accurate cellular traffic prediction is conducive to managing communication networks, but
challenging, due to dynamic temporal variations and complicated spatial correlations. In this …