Back to search

Article

Urban Noise Dynamics during COVID-19 Lockdown: Machine Learning Perspectives from Mashhad, Iran

2024-08-22

Abstract excerpt

<title>Abstract</title> <p>This paper investigates the impact of human activities on noise pollution in the Mashhad metropolis, Iran, as well as the fluctuations that occurred during the COVID-19 pandemic. By leveraging a dual strategy, a comprehensive review was initiated. First, the noise level measurements collected before (March 21 to April 20, 2019) and during (March 20 to April 19, 2020) the COVID-19 quaran...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c053b5ab-d4ae-5124-929a-33570919a651
DOI
10.21203/rs.3.rs-4731938/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Urban Noise Dynamics during COVID-19 Lockdown: Machine Learning Perspectives from Mashhad, IranDOI 10.21203/rs.3.rs-4731938/v1
Select a neighboring publication to make it the new centre.