Sound event detection (SED) using lightweight sensor device has recently gained attention
as a practical means to capture context and activities especially in domestic environments …

Edge devices, with their widely varying capabilities, support a diverse range of edge AI
models. This raises the question: how does an edge model differ from a high-accuracy …

The ubiquity of executing machine learning tasks on embedded systems with constrained
resources has made efficient execution of neural networks on these systems under the CPU …

Large-scale models, abundant data, and dense computation are the pivotal pillars of deep
neural networks. The present-day deep learning models have made significant strides in …

Home-based health monitoring supplements “snapshots” of health examination at discrete
clinical visits with continuous monitoring of physiological data (eg, respiration and heart …

In shared spectrum systems, it is important to be able to localize simultaneously present
multiple intruders (unauthorized transmitters) to effectively protect a shared spectrum from …

Abstract Network Functions (NFs) are widely deployed to process network traffic. Network
Function Virtualization (NFV) aims to replace traditional hardware middleboxes with …

Faulty sensors in a multiple input stream setup are more prone to corrupted input data
streams, hindering the performance of Deep Neural Networks (DNN), which focus on …