In many applications, a reduction of the amount of the original data or a representation of the original data by a small set of variables is often required. Among many techniques, ...
—Energy-efficiency is becoming one of the most critical issues in embedded system design. In Network-on-Chip (NoC) based heterogeneous Multiprocessor Systems, the energy consump...
Jia Huang, Christian Buckl, Andreas Raabe, Alois K...
: We propose and investigate the Internet Protocol version 6 (IPv6) enabled mobility framework to improve the user mobility experience in heterogenous wireless networks. The framew...
Chong Shen, Wencai Du, Robert Atkinson, James Irvi...
—In this paper, we propose a spectrum allocation framework that jointly considers the Quality-of-Service (QoS) provisioning for heterogeneous secondary Real-Time (RT) and Non-Rea...
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...