32 citations · 32 across the 4 of their papers we have counts for
4 papers
Mitigating multiple single-event upsets during deep neural network inference using fault-aware training
Toon Vinck, Naïn Jonckers, Gert Dekkers +2
Deep neural networks (DNNs) are increasingly used in safety-critical applications. Reliable fault analysis and mitigation are essential to ensure their functionality in harsh envir…
Single-Event Upset Analysis of a Systolic Array based Deep Neural Network Accelerator
Naïn Jonckers, Toon Vinck, Gert Dekkers +2
Deep Neural Network (DNN) accelerators are extensively used to improve the computational efficiency of DNNs, but are prone to faults through Single-Event Upsets (SEUs). In this wor…
A multi-layered energy consumption model for smart wireless acoustic sensor networks
Gert Dekkers, Fernando Rosas, Steven Lauwereins +6
Smart sensing is expected to become a pervasive technology in smart cities and environments of the near future. These services are improving their capabilities due to integrated de…
DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics
Gert Dekkers, Lode Vuegen, Toon van Waterschoot +2
The DCASE 2018 Challenge consists of five tasks related to automatic classification and detection of sound events and scenes. This paper presents the setup of Task 5 which includes…