Automated log analysis is crucial in modern software-intensive systems f...
Anomaly detection in multivariate time series data is of paramount impor...
The loss function for bounding box regression (BBR) is essential to obje...
Terahertz (THz) band owning the abundant multi-ten-GHz bandwidth is capa...
Due to the complicated background and noise of infrared images, infrared...
Integrated ultra-massive multiple-input multiple-output (UM-MIMO) and
in...
Reconfigurable intelligent surfaces (RISs) have emerged as a prospective...
ComOpT is an open-source research tool for coverage-driven testing of
au...
As random walk is a powerful tool in many graph processing, mining and
l...
The Terahertz band is envisioned to meet the demanding 100 Gbps data rat...
While object detection modules are essential functionalities for any
aut...
We study the hop-constrained s-t path enumeration (HcPE) problem, which ...
Although deep learning has achieved remarkable successes over the past y...
The pervasive adoption of Deep Learning (DL) and Graph Processing (GP) m...
Single image inverse problem is a notoriously challenging ill-posed prob...