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

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

Precisely predicting the amount of household hazardous waste (HHW) and classifying it intelligently is crucial for effective city management. Although data-driven models have the potential to address these problems, there have been few studies utilizing this approach for HHW prediction and classific...

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Bibliographic Details
Main Authors: Kunsen Lin, Youcai Zhao, Jia-hong Kuo
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Household hazardous waste
Amount prediction
Finer classification
Data-driven model
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651323007534

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http://www.sciencedirect.com/science/article/pii/S0147651323007534

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