Name
Abstract | ||
|---|---|---|
In recent years artificial neural networks (NNs) have been at the center of research on data processing. However, their high computational demand often prohibits deployment on resource-constrained Industrial IoT Systems. Custom hardware accelerators can enable real-time NN processing on small-scale edge devices but are generally hard to develop and integrate. In this paper we present a hardware ge... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/INDIN45523.2021.9557519 | 2021 IEEE 19th International Conference on Industrial Informatics (INDIN) |
Keywords | DocType | ISBN |
Condition monitoring,Conferences,Artificial neural networks,Valves,Data processing,Real-time systems,Informatics | Conference | 978-1-7281-4395-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leon Hielscher | 1 | 0 | 1.01 |
| Alexander Bloeck | 2 | 0 | 0.34 |
| Alexander Viehl | 3 | 181 | 25.01 |
| Sebastian Reiter | 4 | 23 | 3.85 |
| Marc Staiger | 5 | 0 | 0.34 |
| Oliver Bringmann | 6 | 586 | 71.36 |