Application of Machine Learning Techniques for Predicting Students’ Acoustic Evaluation in a University Library

Application of Machine Learning Techniques for Predicting Students’ Acoustic Evaluation in a University Library

Understanding students’ acoustic evaluation in learning environments is crucial for identifying acoustic issues, improving acoustic conditions, and enhancing academic performance. However, predictive models are not specifically tailored to predict students’ acoustic evaluations, particularly in educ...

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Bibliographic Details
Main Authors: Dadi Zhang, Kwok-Wai Mui, Massimiliano Masullo, Ling-Tim Wong
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Acoustics
Subjects:
acoustic evaluation
machine learning
prediction model
leaning environment
field investigation
on-site measurement
Online Access:https://www.mdpi.com/2624-599X/6/3/37
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