Bayesian Sampling,Candidate States,Cantilever Beam,Changes In Boundary Conditions,Data Fusion,Data Fusion Techniques,Digital Twin,Divide-and-conquer Approach,Dynamic Loading,Finite Element,Frequency ...

Bayesian Sampling,Candidate States,Cantilever Beam,Changes In Boundary Conditions,Data Fusion,Data Fusion Techniques,Digital Twin,Divide-and-conquer Approach,Dynamic Loading,Finite Element,Frequency ...

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Several automated software packages facilitate conducting NMA using either of two alternative approaches, Bayesian or frequentist frameworks. Researchers must choose a framework for conducting NMA ...

We thus also need a way to adjust the model towards selecting either more sparse and generalizing, or more detailed and less parsimonious solutions. Before performing Bayesian inference with the ...

This is the repository of the PyTorch implementation of ChemBFN model.

This paper introduces the potential of intelligent Bayesian regularization backpropagation neuro computing (IBRBNC) for the precise estimation of state features of underwater passive object. The ...

A record 22.6 million U.S. employees are expected to miss work on the Monday after the Super Bowl LIX, according to a UKG ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

This paper uses Bayesian methods in conjunction with spatiotemporal and zoonotic data to evaluate the odds ratio for two hypotheses regarding the origin of the COVID-19 pandemic, namely, an accidental ...