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Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration

Author(s): Hou D; Zhan D; Wang L; Hassan IG; Sezer N;

Many factors contribute to the inherent uncertainty of energy consumption modeling in buildings. It is essential to perform a calibration and sensitivity analysis in order to manage these uncertainties. Despite the availability of several calibration method ...

Article GUID: 37936825


Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images

Author(s): Bourouis S; Alharbi A; Bouguila N;

Early diagnosis and assessment of fatal diseases and acute infections on chest X-ray (CXR) imaging may have important therapeutic implications and reduce mortality. In fact, many respiratory diseases have a serious impact on the health and lives of people. ...

Article GUID: 34460578


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