Then, the spatial and temporal fault features are extracted using the graph convolutional network (GCN) and the 1-D convolutional network (1D-CNN), respectively. Finally, a spatio-temporal feature ...

Effective detection and classification of forest fire imagery are critical for timely and efficient wildfire management. Convolutional Neural Networks (CNNs) have demonstrated potential in this domain ...

Deep Learning Model A one-dimensional convolutional neural network (1D-CNN) was used to pretrain the deep learning model on artificial spectra; this pretrained model is hereafter referred to as SimNet ...

We’re excited to announce that Content Delivery Network and Web Application Firewall features are now available in the US Government Cloud for Power Pages. Content Delivery Network (CDN) CDN for Power ...

Our studies show how car manufacturers stacked up against competition for quality and performance. See which cars made it to the top in their category.

This work introduces SPlus, a new optimizer for neural network training. We developed SPlus from an fundamentally empirical and experimental point of view -- the goal was to make a practical optimizer ...