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Bahram Malekmohammadi, Cintia Bertacchi Uvo, Negar Tayebzadeh Moghadam, Roohollah Noori and Soroush Abolfathi
Wetlands are valuable natural capital and sensitive ecosystems facing significant risks from anthropogenic and climatic stressors. An assessment of the environmental risk levels for wetlands? dynamic ecosystems can provide a better understanding of their...
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Babitha Philip and Hamad Al Jassmi
In this study, Bayesian Belief Networks (BBN) are proposed to model the relationships between factors contributing to pavement deterioration, where their values are probabilistically estimated based on their interdependencies. Such probabilistic inferenc...
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Amedeo Buonanno, Antonio Nogarotto, Giuseppe Cacace, Giovanni Di Gennaro, Francesco A. N. Palmieri, Maria Valenti and Giorgio Graditi
In this work, we investigate an Information Fusion architecture based on a Factor Graph in Reduced Normal Form. This paradigm permits to describe the fusion in a completely probabilistic framework and the information related to the different features are...
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Andrea Ruggieri, Francesco Stranieri, Fabio Stella and Marco Scutari
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations. BN parameter learning from incomplete da...
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Arthur Villordon, Ron Sheffield, Jose Rojas, and Yin-Lin Chiu
Pág. 1588 - 1597
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Engelen, R A van
Pág. 916 - 920
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