The MarketWatch News Department was not involved in the creation of this content. LAS VEGAS, Sept. 09, 2025 (GLOBE NEWSWIRE) -- Astradyne Inc(TM) (Astral Dynamic Networks(TM)) introduces a newly ...
Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...
Abstract: One of the key challenges in systems biology is to derive gene regulatory networks (GRNs) from complex high-dimensional sparse data. Bayesian networks (BNs) and dynamic Bayesian networks ...
A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...
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 ...
Abstract: Due to the complicated interaction in complex systems, correlations between modules are nonlinear and relate to time intervals. In this paper, a novel correlation analysis method based on ...
Landslide susceptibility assessment is crucial to mitigate the severe impacts of landslides. Although Bayesian network (BN) has been widely used in landslide susceptibility assessment, no study has ...
Algorithms for learning Bayesian networks from data have two components: a scoring metric and a search procedure. The scoring metric computes a score reflecting the goodness-of- fit of the structure ...
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