The rapid expansion of higher education has introduced new safety challenges in university laboratories, where fire incidents now represent a critical threat to campus safety. In this paper, we ...

Welcome to the inference code for the paper "Protein Sequence Modelling with Bayesian Flow Networks". With this code, you can sample from our trained models ProtBFN, for general proteins, and AbBFN, ...

Abstract: Bayesian networks are widely used for causal discovery and probabilistic modeling across diverse domains including healthcare, multi-dimensional data analysis, environmental modeling, and ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Natural gas purification plants are a critical part of the gas ...

Introduction: During the commissioning and operation of shale gas pipelines, multiple perforation accidents caused by internal corrosion have occurred. Research on internal corrosion probability ...

Emirates, the world’s largest international airline, is set to further strengthen its presence across Asia with the launch of daily non-stop flights between Dubai and Shenzhen from 1 July 2025*. The ...

Abstract: This study introduces a proof-of-concept methodology for utilizing Bayesian Networks to reason over uncertain fusion economics. Using Bayesian networks as a surrogate of a forward model ...

Paper aims The aim of this study is to develop a bayesian network model for selecting maintenance strategies. Originality This model evaluates the consequences and complexity of breakdowns, but also ...

Introduction: Dynamic Bayesian networks improve the modeling of complex systems by incorporating continuous probabilistic relationships between covariates that change over time. This study aimed to ...

ABSTRACT: With the agricultural reforms of 2000s in Sub-Saharan African countries including Tanzania that aimed to capacitate farmers in various areas including technological and marketing areas, the ...