Machine learning-based urban noise appropriateness evaluation method and driving factor analysis

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Bibliographic Details
Main Authors: Jinlin Teng, Cheng Zhang, Huimin Gong, Chunqing Liu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666067/?tool=EBI
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author Jinlin Teng
Cheng Zhang
Huimin Gong
Chunqing Liu
author_facet Jinlin Teng
Cheng Zhang
Huimin Gong
Chunqing Liu
author_sort Jinlin Teng
collection DOAJ
format Article
id doaj-art-7fc78723840644c89ea35b0480965bee
institution OA Journals
issn 1932-6203
language English
publishDate 2024-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-7fc78723840644c89ea35b0480965bee2025-08-20T02:00:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912Machine learning-based urban noise appropriateness evaluation method and driving factor analysisJinlin TengCheng ZhangHuimin GongChunqing Liuhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666067/?tool=EBI
spellingShingle Jinlin Teng
Cheng Zhang
Huimin Gong
Chunqing Liu
Machine learning-based urban noise appropriateness evaluation method and driving factor analysis
PLoS ONE
title Machine learning-based urban noise appropriateness evaluation method and driving factor analysis
title_full Machine learning-based urban noise appropriateness evaluation method and driving factor analysis
title_fullStr Machine learning-based urban noise appropriateness evaluation method and driving factor analysis
title_full_unstemmed Machine learning-based urban noise appropriateness evaluation method and driving factor analysis
title_short Machine learning-based urban noise appropriateness evaluation method and driving factor analysis
title_sort machine learning based urban noise appropriateness evaluation method and driving factor analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666067/?tool=EBI
work_keys_str_mv AT jinlinteng machinelearningbasedurbannoiseappropriatenessevaluationmethodanddrivingfactoranalysis
AT chengzhang machinelearningbasedurbannoiseappropriatenessevaluationmethodanddrivingfactoranalysis
AT huimingong machinelearningbasedurbannoiseappropriatenessevaluationmethodanddrivingfactoranalysis
AT chunqingliu machinelearningbasedurbannoiseappropriatenessevaluationmethodanddrivingfactoranalysis