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Abstract: This article proposes a robust topology change-aware distribution system state estimation (DSSE) method based on a physics-informed graph neural network and Bayesian Probability Weighted ...

Aether AI, founded by UCSD professor Biwei Huang, closed a $20 million seed round on June 18, 2026 to build causal world models that understand cause-and-effect relationships rather than statistical ...

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Code used to generate the results of the paper: Nascimento et al. A framework for Li-ion battery prognosis based on hybrid Bayesian physics-informed neural networks. - ...

] introduced Bayesian networks to football outcome prediction, demonstrating how graphical models can capture complex dependencies between match factors. Constantinou and Fenton [ 7 ] addressed ...