A novel hierarchical extreme machine-learning-based approach for linear attenuation coefficient forecasting

HIGHLIGHTS

• who: Giuseppe Varone et al. from the Department of Neuroscience and Imaging, University of Chieti Pescara, Chieti, Italy have published the research: A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting, in the Journal: Entropy 2023, 25, 253. of /2023/
• what: Data-driven machine learning approaches can be investigated to assess the gamma-ray shielding behavior of composites as an alternative to theoretical calculations which are often time- and resource-intensive during workbench testing. Motivated by the promising results recently achieved in HELM-based models , this study aims at developing an . . .
  

   

  

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