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An End-to-End Deep Learning Pipeline for Urban Noise Monitoring with Spatiotemporal Validation
An End-to-End Deep Learning Pipeline for Urban Noise Monitoring with Spatiotemporal Validation
Fuente:
Zenodo
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Bibliographic Details
Main Author:
Yalçınkaya, Mehmet Ali
Format:
Recurso digital
Language:
English
Published:
Zenodo
2026
Subjects:
urban noise monitoring
audio classification
deep learning
CNN14
SONYC-UST
multi-label classification
spatiotemporal analysis
probability calibration
TorchScript
environmental sound
Online Access:
Acceder al recurso
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Internet
https://doi.org/10.5281/zenodo.20073299
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