Abstract: The weight information has been playing a key role in information fusion and dynamic decision making process. Most existing methods for determining weights under dynamic environments only ...
A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
BaNDyT (Bayesian Network analisis of molecular Dynamic simulation Trajectories): software package that implements the Bayesian Network Modeling specifically attuned to the MD simulation trajectories ...
Abstract: This study introduces a novel approach that integrates dynamic Bayesian network with attention based spatio-temporal graph convolutional network to forecast railway train delays, capturing ...
Implementation of BANSAC, a new guided sampling process for RANSAC. Previous methods either assume no prior information about the inlier/outlier classification of data points or use some previously ...
Sharethrough is getting into the boom in QR codes, introducing its own offering for connected TV. The codes can be added dynamically as connected TV ads are bought programmatically through the ...
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