In this letter, we propose a neural network model with Propagation Path Serialized Representation (PPSR) to predict the signal. Previous works treat the propagation path as a whole, ignoring the ...

Using the seepage method, researchers have drawn many conclusions and brought new ideas in the research directions of network propagation and cascade failure. Based on these theories, many researchers ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...

Therefore, this study proposes a novel spatiotemporal graph-based deep neural network (STG-DNN) for retrieving wind speed, which incorporates a graph module with a transformer module to fully exploit ...

Delivering high-bandwidth, low-latency satellite communication presents formidable challenges, including spectrum efficiency, ...

The use of light signals to connect electronic components is a key element of today's data communication technologies, ...

But having access to OAN content is a big step toward turning the Voice of America into the Voice of Trump — an outcome that journalists at the network have feared. VOA’s networks and websites ...

Over the past decade, intensive studies have shown that the brain's meningeal lymphatic system acts as the brain's "waste ...

Want to understand how neural networks actually learn? This video breaks down forward and backward propagation in a simple, visual way—perfect for beginners and aspiring AI engineers! #NeuralNetworks ...

To create a more resilient electric grid that meets the nation's increasing power demands, utilities are incorporating a ...