— In the field of mobile robotics, trajectory details are seldom taken into account to qualify robot performance. Most metrics rely mainly on global results such as the total ti...
Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can...
Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun...
Mobile Peer-to-Peer Networks (MOPNETs) have become popular applications due to their ease of communication and resource sharing patterns in unfixed network infrastructures. As priv...
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
In this paper, we propose a timing-reasoning algorithm to improve the resolution of delay fault diagnosis. In contrast to previous approaches which identify candidates by utilizin...