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A Bayesian computational technique for learning the airflow resistance of acoustical fibrous materials at high temperatures

Author(s): ORCID (Department of Mechanical and Aerospace Engineering, Brunel University, London, UK)
(University of Moratuwa, Moratuwa, Sri Lanka)
Medium: journal article
Language(s): English
Published in: Building Acoustics
DOI: 10.1177/1351010x241305948
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/1351010x241305948.
  • About this
    data sheet
  • Reference-ID
    10816568
  • Published on:
    03/02/2025
  • Last updated on:
    03/02/2025
 
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