56 citations · 92 across the 7 of their papers we have counts for
14 papers
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…
Resource-Aware Stochastic Self-Triggered Model Predictive Control
Yingzhao Lian, Yuning Jiang, Naomi Stricker +2
This paper considers the control of uncertain systems that are operated under limited resource factors, such as battery life or hardware longevity. We consider here resource-aware…
PredCoin: Defense against Query-based Hard-label Attack
Junfeng Guo, Yaswanth Yadlapalli, Thiele Lothar +2
Many adversarial attacks and defenses have recently been proposed for Deep Neural Networks (DNNs). While most of them are in the white-box setting, which is impractical, a new clas…
Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges
Dominik Baumann, Fabian Mager, Ulf Wetzker +3
Smart manufacturing aims to overcome the limitations of today's rigid assembly lines by making the material flow and manufacturing process more flexible, versatile, and scalable. T…
The Time-Triggered Wireless Architecture
Romain Jacob, Licong Zhang, Marco Zimmerling +3
Wirelessly interconnected sensors, actuators, and controllers promise greater flexibility, lower installation and maintenance costs, and higher robustness in harsh conditions than…