A full documentation for using the trained discontinuity detectors described in https://arxiv.org/abs/2401.13652 (mainly based on Graph-Instructed Neural Networks ...

I use pose graph implementation and optimization from the examples. When optimizing my own pose graph with an identity information matrix for the neighboring nodes, the resulting graph can have ...

Models for predicting the effects of signal-destroying reflections. An ideal digital interconnect is a lossless transmission line with characteristic impedance and phase delay flat over the signal ...

Adding a graph in a spreadsheet is no big deal as long as you know the process. However, do you know that you can make a curved line graph in Excel or Google Sheets? If not, you should check out this ...

A single one can destroy a signal, but predictions with validated models can be made. An ideal digital interconnect is a lossless transmission line with characteristic impedance and phase delay flat ...

Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space, perform particularly well in various tasks that process graph structure data. With the rapid accumulation of ...