ANN-Based Real-Time Prediction of Heat and Mass Transfer in the Paper-Based Storage Enclosure for Sustainable Preventive Conservation

ANN-Based Real-Time Prediction of Heat and Mass Transfer in the Paper-Based Storage Enclosure for Sustainable Preventive Conservation

The storage enclosures are vital for stabilizing the micro-environment within, facilitating preventive conservation efforts, and enabling energy savings by reducing the need for extensive macro-environmental control within the room. However, real-time conformity monitoring of the micro-environment t...

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Bibliographic Details
Main Authors: Bo Han, Fan Wang, Julie Bon, Linda MacMillan, Nick K. Taylor
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
heat and mass transfer
artificial neural network (ANN)
prediction
hygrothermal condition
buffering effect
storage enclosure
Online Access:https://www.mdpi.com/2076-3417/15/12/6905
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