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Journal of Environmental Management|December 6, 2024
Novel method for predicting concentrations of incineration flue gas based on waste composition and machine learningYa-Ping Qi, Pin-Jing He, Dong-Ying Lan, et al.Waste Management (New York, N.Y.)|October 2, 2024
Unveiling the non-linear effects of water and oil on hyperspectral imaging-based characterization of solid waste by hyperspectral unmixingDong-Ying Lan, Pin-Jing He, Ya-Ping Qi, et al.Journal of Hazardous Materials|September 19, 2020
Inhibition of chlorobenzenes formation by calcium oxide during solid waste incinerationHua Zhang, Dong-Ying Lan, Fan Lü, et al.Journal of Hazardous Materials|September 23, 2021
Repercussions of clinical waste co-incineration in municipal solid waste incinerator during COVID-19 pandemicDong-Ying Lan, Hua Zhang, Ting-Wei Wu, et al.Waste Management (New York, N.Y.)|August 30, 2022
Rapid determination of moisture content of multi-source solid waste using ATR-FTIR and multiple machine learning methodsYa-Ping Qi, Pin-Jing He, Dong-Ying Lan, et al.Journal of Environmental Sciences (China)|July 13, 2024
Rapid detection of colored and colorless macro- and micro-plastics in complex environment via near-infrared spectroscopy and machine learningHui-Huang Zou, Pin-Jing He, Wei Peng, et al.Analytical Chemistry|February 23, 2023
Optimizing the Quality of Machine Learning for Identifying the Share of Biogenic and Fossil Carbon in Solid WasteDong-Ying Lan, Pin-Jing He, Ya-Ping Qi, et al.Pageof 1