Search Results for author:
Found 2 papers, 0 papers with code
Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids
By publishing the first large-scale real-world dataset, we aim to shed light on the previously largely unrecognized potential of PLC data and emphasize machine-learning-based research in low-voltage distribution networks by presenting a variety of different use cases.
A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC)
In order to assess the effectiveness of deeper architectures for small non-coding RNA classification, we also adapted two ResNet architectures having different number of layers.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
