Search Results for author:
Found 4 papers, 1 papers with code
Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems
Such attribute combinations are substantial clues to the underlying root causes and thus are called root causes of multidimensional data.
A Ray-tracing and Deep Learning Fusion Super-resolution Modeling Method for Wireless Mobile Channel
In this paper, we proposed a novel super resolution (SR) model for cluster characteristics prediction.
Super-resolution of Ray-tracing Channel Simulation via Attention Mechanism based Deep Learning Model
As an emerging approach, deep learning plays an increasingly influential role in channel modeling.
A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics
The contribution in this paper could be helpful in channel modeling, network optimization, positioning and other wireless channel characteristics related work by largely reducing workload of simulation or measurement.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
