Abstract: This letter investigates the verification problem of codiagnosability for discrete-event systems modeled by constant-time automata (CTAs ... Additionally, an inappropriate, lower-complexity ...

The additional atom and chemical bonding can be effectively captured when constructing the crystal graph, and if the interstitial atom ... the node features will exponentially converge to constant ...

Tana’s idea is that it will improve over time as it takes on more data and as its team builds future iterations. “We are building out a knowledge graph,” said CEO Tarjei Vassbotn in an ...

2021) constructed a graph neural network from the perspective of differential equations for the first time, providing a principled mathematical ... i.e., mechanisms with lower computational and ...

Initially, time-frequency complexity and temporal features of the EEG signal are extracted to generate node features for a graph convolutional network. Subsequently, leveraging channel correlation, ...

A mortgage constant is the percentage of money paid each year to pay or service a debt compared to the total value of the loan. The mortgage constant helps to determine how much cash is needed ...

In the 2023–2024 fiscal year, the CRA met its low complexity objections service standard 61% of the time Medium complexity income tax objections resolved in December 2024 were completed in an average ...