Browsing Faculty of Engineering & Applied Science by Subject "Embedded systems"
Now showing items 1-3 of 3
-
Application-specific transfer learning over edge networks
(2021-11-01)Transfer learning uses a profound labeled set of data from the source domain to deal with a similar problem for the target domain. Transfer learning provides accurate decision- making when insufficient data samples are ... -
Design automation and QoS requirements preservation for multiprocessor embedded systems
(2019-07-01)The number of processors is increasing in embedded systems but the usefulness of parallel computation is not better leveraged due to the inflexibility of design and implementation for multiprocessor embedded system ... -
Time-efficient offloading and execution of machine learning tasks between embedded systems and fog nodes
(2019-12-01)As embedded systems become more prominent in society, it is important that the technologies that run on them must be used efficiently. One such technology is the Neural Network (NN). NN's, combined with the Internet of ...