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 ...

Abstract: In the field of optimization and machine learning, the statistical assessment of results has played a key role in conducting algorithmic performance comparisons. Classically, null hypothesis ...

eInstitute of Medical Biostatistics, Epidemiology, and Informatics, University Medical Centre of Johannes Gutenberg University Mainz, Mainz, Germany fUniversity Cancer Center at University Medical ...

This article presents an application for failure probability in long-pipeline gas systems through the development of trend curves over time for the attributes of corrosion wear, which are related to ...

P(x > a) - Probability that x is greater than a P(x >= a) - Probability that x is greater than or equal to a P(x < a) - Probability that x is less than a P(x <= a ...

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...

In previous article, we learned the magic of Propensity Score Matching (PSM) —how it finds "statistical twins" to mimic a randomized experiment. Now, it's time to open the toolbox and perform the ...

Parametric LCA aims to maintain the relationships between different parameters along the life cycle of a system or product, modeling the system with variables and equations that depict these ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

Palm Beach County's wild southern reaches of spikey cattail marsh are harboring a hot spot for the state's most abhorred invasive species. University of Florida researchers looking to unlock the ...