Abstract: Efficiently synthesizing an entire application that consists of multiple algorithms for hardware implementation is a very difficult and unsolved problem. One of the main challenges is the ...
Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...
INT32 Data Range Limitation: The original cumm matrix multiplication operation raises an error when encountering int32 data ranges. When the mesh is very large, this ...
In our study, we evaluated the accuracy and efficiency of Multi-View Stereo (MVS) and Structure-from-Motion (SFM) technologies for 3D reconstruction. We utilized publicly available online datasets to ...
Create, view, and edit professional diagrams collaboratively as part of your Microsoft 365 subscription. Visio in Microsoft 365 brings core Visio capabilities to Microsoft 365 and helps you create ...
Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.
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