Convolutional neural network approach for accelerated traffic noise mapping.

Choi S, Park T, Lim J, Murphy E, Jeon JJ

Open source

DOI
10.1038/s41598-026-46367-3
Published
2026 Apr 1
Container
Scientific reports
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:10.1038/s41598-026-46367-3,
  title = {Convolutional neural network approach for accelerated traffic noise mapping.},
  author = {Choi S and Park T and Lim J and Murphy E and Jeon JJ},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-46367-3},
  url = {https://doi.org/10.1038/s41598-026-46367-3}
}

RIS

TY  - JOUR
TI  - Convolutional neural network approach for accelerated traffic noise mapping.
AU  - Choi S
AU  - Park T
AU  - Lim J
AU  - Murphy E
AU  - Jeon JJ
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-46367-3
UR  - https://doi.org/10.1038/s41598-026-46367-3
ER  - 

APA

S, C., T, P., J, L., E, M., & JJ, J. (2026). Convolutional neural network approach for accelerated traffic noise mapping.. Scientific reports. https://doi.org/10.1038/s41598-026-46367-3

Source records