Advanced Acoustic Monitoring Using Psychoacoustic Heatmap Machine Learning Models for Noise Impact Prediction in Air-Conditioned Building Environments.

Ma KW, Mak CM, Chung FL, Wong HM

Open source

DOI
10.3390/s26020544
Published
2026 Jan 13
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s26020544,
  title = {Advanced Acoustic Monitoring Using Psychoacoustic Heatmap Machine Learning Models for Noise Impact Prediction in Air-Conditioned Building Environments.},
  author = {Ma KW and Mak CM and Chung FL and Wong HM},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26020544},
  url = {https://doi.org/10.3390/s26020544}
}

RIS

TY  - JOUR
TI  - Advanced Acoustic Monitoring Using Psychoacoustic Heatmap Machine Learning Models for Noise Impact Prediction in Air-Conditioned Building Environments.
AU  - Ma KW
AU  - Mak CM
AU  - Chung FL
AU  - Wong HM
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26020544
UR  - https://doi.org/10.3390/s26020544
ER  - 

APA

KW, M., CM, M., FL, C., & HM, W. (2026). Advanced Acoustic Monitoring Using Psychoacoustic Heatmap Machine Learning Models for Noise Impact Prediction in Air-Conditioned Building Environments.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26020544

Source records