Heterogeneous embedded systems have surfaced as a promising solution for accurate and
efficient deep-learning inference on mobile devices. Despite extensive prior works, it still …

In wireless networks, dynamic spectrum access is the key to improving spectrum utilization
and increasing channel capacity. Since the channels in wireless networks are highly …

Recent advancements in machine learning domain have enabled the deep Convolutional
Neural Networks (CNNs) to be the key component of various Internet of Things (IoT) …

With the increasing adoption of Deep Neural Networks (DNNs) in modern applications, there
has been a proliferation of computationally and power-hungry workloads, which has …

Abstract The Internet of Things (IoT) computing paradigm has connected smart objects
“things” and has brought new services at the proximity of the user. Edge Computing, a …

As machine learning grows, a heterogeneous computing system is actively used for a
solution to increase the efficiency of machine learning. Although there are the prior studies …