Data-driven models applying in household hazardous waste: Amount prediction and classification in Shanghai.

Lin, Kunsen; Zhao, Youcai; Kuo, Jia-Hong

Lin, Kunsen; Zhao, Youcai; Kuo, Jia-Hong.

Afiliación

Lin K; The State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, 1515 North Zhongshan Rd. (No. 2), Shanghai 200092, China. Electronic address: kslin@tongji.edu.cn.
Zhao Y; The State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, 1515 North Zhongshan Rd. (No. 2), Shanghai 200092, China.
Kuo JH; Department of Safety, Health, and Environmental Engineering, National United University, Miaoli 36063, Taiwan. Electronic address: jhkuo@nuu.edu.tw.

Ecotoxicol Environ Saf ; 263: 115249, 2023 Sep 15.

Article en En | MEDLINE | ID: mdl-37441948

Asunto(s)

Eliminación de Residuos; Administración de Residuos; Humanos; Eliminación de Residuos/métodos; Residuos Peligrosos/análisis; Productos Domésticos; China; Contaminación Ambiental/análisis; Administración de Residuos/métodos

Palabras clave

Amount prediction; Data-driven model; Deep learning; Finer classification; Household hazardous waste

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Eliminación de Residuos / Administración de Residuos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Ecotoxicol Environ Saf Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos

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