Reinforcement learning for virtual network embedding in wireless sensor networks
Upcoming sensing applications (acoustic or video) will have high processing requirements
not satisfiable by a single node or need input from multiple sources (eg, speaker …
not satisfiable by a single node or need input from multiple sources (eg, speaker …
Privacy-preserving audio classification using variational information feature extraction
In this paper we investigate and tackle the privacy risks of deep-neural-network-based
feature extraction for sound classification in acoustic sensor networks. To this end, we …
feature extraction for sound classification in acoustic sensor networks. To this end, we …
An approximate power control algorithm for a multi-cast wireless virtual network embedding
Internet of Things (IoT) applications witness an exceptional evolution of traffic demands,
while existing protocols, as seen in wireless sensor networks (WSNs), struggle to cope with …
while existing protocols, as seen in wireless sensor networks (WSNs), struggle to cope with …
Weakly supervised sound activity detection and event classification in acoustic sensor networks
In this paper we consider human daily activity recognition using an acoustic sensor network
(ASN) which consists of nodes distributed in a home environment. Assuming that the ASN is …
(ASN) which consists of nodes distributed in a home environment. Assuming that the ASN is …
Privacy-preserving audio features for classification and clustering in acoustic sensor networks
A Nelus - 2022 - hss-opus.ub.ruhr-uni-bochum.de
The ubiquity of portable smart devices along with the advent of the Internet of Things have
led to a wide dissemination of sensors. The presence of these sensors along with the …
led to a wide dissemination of sensors. The presence of these sensors along with the …