56 citations · 92 across the 7 of their papers we have counts for
3 papers · 1 filter
Using system context information to complement weakly labeled data
Matthias Meyer, Michaela Wenner, Clément Hibert +2
Real-world datasets collected with sensor networks often contain incomplete and uncertain labels as well as artefacts arising from the system environment. Complete and reliable lab…
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim, Andreas Biri, Zhongnan Qu +1
With the surge of inexpensive computational and memory resources, neural networks (NNs) have experienced an unprecedented growth in architectural and computational complexity. Intr…
Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge
Matthias Meyer, Timo Farei-Campagna, Akos Pasztor +7
In natural hazard warning systems fast decision making is vital to avoid catastrophes. Decision making at the edge of a wireless sensor network promises fast response times but is…