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Open Access

Peer-reviewed

Research Article

CABNas-nir: A near-infrared classification for urban pipe network sludge on the fusion algorithm of NAS framework and active learning

Yuxi Yang,

Roles Conceptualization, Methodology, Validation, Writing – original draft

Affiliation POWERCHINA Eco-Environmental Group Co., Ltd., Shenzhen, China
⨯
Li Fu,

Roles Software

Affiliation POWERCHINA Zhongnan Engineering Corporation Limited, Changsha, China
⨯
Qingjun Wei,

Roles Conceptualization, Formal analysis

Affiliation School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, China
⨯
Yuanfa Feng,

Roles Investigation, Validation

Affiliation POWERCHINA Zhongnan Engineering Corporation Limited, Changsha, China
⨯
Ling Zhu,

Roles Data curation, Validation

Affiliation POWERCHINA Zhongnan Engineering Corporation Limited, Changsha, China
⨯
Yan Dai,

Roles Investigation, Writing – review & editing

Affiliation School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, China
⨯
Wu Xiao,

Roles Validation, Writing – review & editing

Affiliation POWERCHINA Zhongnan Engineering Corporation Limited, Changsha, China
⨯
Ting Fan,

Roles Resources, Validation

Affiliation College of Resources and Environment, Anhui Agricultural University, Hefei, China
⨯
Xiu Jin

Roles Conceptualization, Funding acquisition, Writing – review & editing

* E-mail: jinxiu123@ahau.edu.cn

Affiliation School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, China

https://orcid.org/0000-0003-3017-7328

⨯

CABNas-nir: A near-infrared classification for urban pipe network sludge on the fusion algorithm of NAS framework and active learning

Yuxi Yang,
Li Fu,
Qingjun Wei,
Yuanfa Feng,
Ling Zhu,
Yan Dai,
Wu Xiao,
Ting Fan,
Xiu Jin

x

Published: December 19, 2025
https://doi.org/10.1371/journal.pone.0339347

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Near-infrared spectroscopy
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Algorithms
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Preprocessing
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Sewage
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Pollution
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Absorption
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k means clustering
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