Abstract: Convolutional neural networks are widely used in the field of hyperspectral image classification because of their excellent nonlinear feature extraction ability. However, as the sampling ...
We propose a novel deep learning framework, STGCN, to tackle time series prediction problem in traffic domain. Instead of applying regular convolutional and recurrent units, we formulate the problem ...
To learn more about how the template was done refer to the blog post on How to Deploy a .NET isolated Azure Function using Zip Deploy in One-Click on frankysnotes.com. There is also a video on YouTube ...
Abstract: Remote sensing images contain a variety of targets. The circular and square-like targets are very common. However, general methods are prone to incorporating background information and have ...
Enemy infantrymen often move toward the positions of Ukrainian defenders without any protective equipment, carrying only food and water in their backpacks. This was reported in an exclusive comment to ...
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