This article introduces a novel lightweight framework using ambient
back...
Multivariate time-series anomaly detection is critically important in ma...
This work proposes a novel framework to dynamically and effectively mana...
Creating and maintaining the Metaverse requires enormous resources that ...
Anomaly detection from graph data is an important data mining task in ma...
By executing offloaded tasks from mobile users, edge computing augments
...
Anomaly detection from graph data has drawn much attention due to its
pr...
Orthogonal time frequency space (OTFS) modulation was proposed to tackle...
Orthogonal time frequency space (OTFS) modulation was shown to provide
s...
The recently proposed orthogonal time frequency space (OTFS) modulation
...