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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-07-01
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| Series: | Acoustics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-599X/6/3/37 |
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