Flood Resilience of Housing Infrastructure Modeling and Quantification Using a Bayesian Belief Network

scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

Green Supply Chain Risk Network Management and Performance Analysis: Bayesian Belief Network Modeling

With the increase in environmental awareness, competitions and government policies, implementation of green supply chain management activities to sustain production and conserve resources is becoming more necessary for different organizations. However, it is difficult to successfully implement green supply chain (GSC) activities because of the risks involved. These risks alongside their resourc...

Measuring Housing Preferences Using Virtual Reality and Bayesian Belief Networks Measuring Housing Preferences Using Virtual Reality and Bayesian Belief Networks

Quantification of biophysical adaptation benefits from Climate-Smart Agriculture using a Bayesian Belief Network

The need for smallholder farmers to adapt their practices to a changing climate is well recognised, particularly in Africa. The cost of adapting to climate change in Africa is estimated to be $20 to $30 billion per year, but the total amount pledged to finance adaptation falls significantly short of this requirement. The difficulty of assessing and monitoring when adaptation is achieved is one ...

Bayesian Belief Network Modeling and Diagnosis of Xerographic Systems

1 Graduate student 2 Assistant Professor and corresponding author ABSTRACT In this paper, a Bayesian Belief Network (BBN) approach to the modeling and diagnosis of xerographic printing systems is proposed. First, a continuous BBN model based on physics of the printing process and field data is developed. The model captures the causal relationships between the various physical variables in the s...