Abstract: This paper introduces the application of attentiontemporal graphic neural networks to enhance traffic flow and reduce delay in software-defined networks (SDN). Graphical Neural Networks (GNN ...
ncnn-benchmark is a project to test the reasoning performance of neural network using ncnn framework, which includes many common target detection models and tests their reasoning time and accuracy ...
Abstract: Deep learning is a powerful technique for data-driven learning in the era of Big Data. However, most deep learning models are deterministic models that ignore the uncertainty of data. Fuzzy ...
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