Applying machine learning to fine classify construction and demolition waste based on deep residual network and knowledge transfer
Environment Development and Sustainability, vol. 25, pp. 8819–8836
Authors 7
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Tongji University · State Key Laboratory of Pollution Control and Resource Reuse
Affiliation as printed
The State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China
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Youcai Zhao corresponding
Tongji University · State Key Laboratory of Pollution Control and Resource Reuse · Shanghai Institute of Pollution Control and Ecological Security
Affiliation as printed
Shanghai Institute of Pollution Control and Ecological Security, 1515 North Zhongshan Rd. (No. 2), Shanghai, 200092, China
The State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China
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Tongji University · State Key Laboratory of Pollution Control and Resource Reuse
Affiliation as printed
The State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China
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Xiaofeng Gao corresponding
Affiliation as printed
Key Laboratory of the Three Gorges Reservoir Region’s Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, 400045, China
Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, 400045, China
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Leiden University · Cornell University
Affiliation as printed
Institute of Environmental Sciences, Leiden University, 2300 RA, Leiden, The Netherlands
Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA
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University of Shanghai for Science and Technology
Affiliation as printed
College of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China
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Affiliation as printed
Shanghai Environmental Sanitation Engineering Design Institute Co., Ltd., No. 11, 345 Lane, Shilong Road, Shanghai, 200232, China
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