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Frontiers of Environmental Science & Engineering
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January 11, 2023
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting
Kunsen Lin, Youcai Zhao, Lina Wang, et al.
Journal of Hazardous Materials
|
April 4, 2026
Cross-modal fusion of chemical language and physicochemical features enables accurate and interpretable multi-label odor prediction
Xiaochuan Chen, Jiawei Zhuang, Ye Zhang, et al.
The Science of the Total Environment
|
June 12, 2021
Estimation of municipal solid waste amount based on one-dimension convolutional neural network and long short-term memory with attention mechanism model: A case study of Shanghai
Kunsen Lin, Youcai Zhao, Lu Tian, et al.
Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA
|
November 12, 2025
A two-part tariff metering and charging model of municipal solid waste for residents in Shanghai, China
Yanyan Guo, Kunsen Lin, Xiaofeng Gao, et al.
Chemosphere
|
July 20, 2023
Transformer-based enhanced model for accurate prediction and comprehensive analysis of hazardous waste generation in Shanghai: Implications for sustainable waste management strategies
Wenjie Shi, Youcai Zhao, Zongsheng Li, et al.
Chemosphere
|
January 9, 2022
Pyrolytic characteristics of fine materials from municipal solid waste using TG-FTIR, Py-GC/MS, and deep learning approach: Kinetics, thermodynamics, and gaseous products distribution
Kunsen Lin, Lu Tian, Youcai Zhao, et al.
Environmental Research
|
September 24, 2025
Dynamic analysis for PFAS removal from contaminated water by foam separation based on machine learning models
Xin Liu, Yanyan Liang, Libin Yang, et al.
The Science of the Total Environment
|
October 11, 2021
Comprehensive understanding the transition behaviors and mechanisms of chlorine and metal ions in municipal solid waste incineration fly ash during thermal treatment
Chunlong Zhao, Shujie Lin, Youcai Zhao, et al.
The Science of the Total Environment
|
April 4, 2024
Machine learning models for predicting thermal desorption remediation of soils contaminated with polycyclic aromatic hydrocarbons
Haojia Chen, Yudong Cao, Wei Qin, et al.
Environmental Research
|
December 29, 2023
Enhancement of anaerobic digestion from food waste via inert substances based on metagenomic analysis: Oxidative phosphorylation and metabolism
Xiupeng Jiang, Zongsheng Li, Kunsen Lin, et al.
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Search research articles
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Showing results (11-20 of 26) with videos related to
Sort By:
Page
of 3
Frontiers of Environmental Science & Engineering
|
January 11, 2023
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting
Kunsen Lin, Youcai Zhao, Lina Wang, et al.
Journal of Hazardous Materials
|
April 4, 2026
Cross-modal fusion of chemical language and physicochemical features enables accurate and interpretable multi-label odor prediction
Xiaochuan Chen, Jiawei Zhuang, Ye Zhang, et al.
The Science of the Total Environment
|
June 12, 2021
Estimation of municipal solid waste amount based on one-dimension convolutional neural network and long short-term memory with attention mechanism model: A case study of Shanghai
Kunsen Lin, Youcai Zhao, Lu Tian, et al.
Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA
|
November 12, 2025
A two-part tariff metering and charging model of municipal solid waste for residents in Shanghai, China
Yanyan Guo, Kunsen Lin, Xiaofeng Gao, et al.
Chemosphere
|
July 20, 2023
Transformer-based enhanced model for accurate prediction and comprehensive analysis of hazardous waste generation in Shanghai: Implications for sustainable waste management strategies
Wenjie Shi, Youcai Zhao, Zongsheng Li, et al.
Chemosphere
|
January 9, 2022
Pyrolytic characteristics of fine materials from municipal solid waste using TG-FTIR, Py-GC/MS, and deep learning approach: Kinetics, thermodynamics, and gaseous products distribution
Kunsen Lin, Lu Tian, Youcai Zhao, et al.
Environmental Research
|
September 24, 2025
Dynamic analysis for PFAS removal from contaminated water by foam separation based on machine learning models
Xin Liu, Yanyan Liang, Libin Yang, et al.
The Science of the Total Environment
|
October 11, 2021
Comprehensive understanding the transition behaviors and mechanisms of chlorine and metal ions in municipal solid waste incineration fly ash during thermal treatment
Chunlong Zhao, Shujie Lin, Youcai Zhao, et al.
The Science of the Total Environment
|
April 4, 2024
Machine learning models for predicting thermal desorption remediation of soils contaminated with polycyclic aromatic hydrocarbons
Haojia Chen, Yudong Cao, Wei Qin, et al.
Environmental Research
|
December 29, 2023
Enhancement of anaerobic digestion from food waste via inert substances based on metagenomic analysis: Oxidative phosphorylation and metabolism
Xiupeng Jiang, Zongsheng Li, Kunsen Lin, et al.
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of 3