| Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches K Lin, Y Zhao, JH Kuo, H Deng, F Cui, Z Zhang, M Zhang, C Zhao, X Gao, ... Journal of Cleaner Production 346, 130943, 2022 | 111 | 2022 |
| Comprehensive understanding the transition behaviors and mechanisms of chlorine and metal ions in municipal solid waste incineration fly ash during thermal treatment C Zhao, S Lin, Y Zhao, K Lin, L Tian, M Xie, T Zhou Science of the Total Environment 807, 150731, 2022 | 59 | 2022 |
| 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 K Lin, Y Zhao, L Tian, C Zhao, M Zhang, T Zhou Science of The Total Environment 791, 148088, 2021 | 53 | 2021 |
| Deep convolutional neural networks for construction and demolition waste classification: VGGNet structures, cyclical learning rate, and knowledge transfer K Lin, T Zhou, X Gao, Z Li, H Duan, H Wu, G Lu, Y Zhao Journal of Environmental Management 318, 115501, 2022 | 48 | 2022 |
| Applying a deep residual network coupling with transfer learning for recyclable waste sorting K Lin, Y Zhao, X Gao, M Zhang, C Zhao, L Peng, Q Zhang, T Zhou Environmental Science and Pollution Research 29 (60), 91081-91095, 2022 | 25 | 2022 |
| MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting K Lin, Y Zhao, L Wang, W Shi, F Cui, T Zhou Frontiers of Environmental Science & Engineering 17 (6), 77, 2023 | 24 | 2023 |
| Pyrolytic characteristics of fine materials from municipal solid waste using TG-FTIR, Py-GC/MS, and deep learning approach: Kinetics, thermodynamics, and gaseous products … K Lin, L Tian, Y Zhao, C Zhao, M Zhang, T Zhou Chemosphere 293, 133533, 2022 | 24 | 2022 |
| Combustion performance of fine screenings from municipal solid waste: Thermo-kinetic investigation and deep learning modeling via TG-FTIR L Tian, K Lin, Y Zhao, C Zhao, Q Huang, T Zhou Energy 243, 122783, 2022 | 20 | 2022 |
| Deep learning hybrid predictions for the amount of municipal solid waste: a case study in Shanghai K Lin, Y Zhao, JH Kuo Chemosphere 307, 136119, 2022 | 16 | 2022 |
| Applying machine learning to fine classify construction and demolition waste based on deep residual network and knowledge transfer K Lin, Y Zhao, T Zhou, X Gao, C Zhang, B Huang, Q Shi Environment, Development and Sustainability 25 (8), 8819-8836, 2023 | 15 | 2023 |
| Effect of phosphorus concentration on alkali and heavy metals transformation under agglomeration/defluidization during fluidized bed simulated sludge co-combustion K Lin, JH Kuo, K Xiong, CL Lin, J Liu Waste and Biomass Valorization 11, 6903-6916, 2020 | 14 | 2020 |
| Sequential extraction for heavy metal distribution of bottom ash from fluidized bed co-combusted phosphorus-rich sludge under the agglomeration/defluidization process K Lin, JH Kuo, CL Lin, ZS Liu, J Liu Waste Management & Research 38 (2), 122-133, 2020 | 12 | 2020 |
| Agglomeration-influenced transformation of heavy metals in gas-solid phases during simulated sewage sludge co-incineration: Effects of phosphorus and operating temperature K Lin, Y Zhao, JH Kuo, CL Lin Science of The Total Environment 858, 159759, 2023 | 7 | 2023 |
| Data‐driven models employed to waste plastic in China: Generation, classification, and environmental assessment K Lin, Y Zhao, M Zhang, W Shi, JH Kuo Journal of Industrial Ecology 27 (1), 170-181, 2023 | 6 | 2023 |
| Machine learning models for predicting thermal desorption remediation of soils contaminated with polycyclic aromatic hydrocarbons H Chen, Y Cao, W Qin, K Lin, Y Yang, C Liu, H Ji Science of the Total Environment 927, 172173, 2024 | 5 | 2024 |
| Hi-MGT: a hybrid molecule graph transformer for toxicity identification Z Tan, Y Zhao, T Zhou, K Lin Journal of Hazardous Materials 457, 131808, 2023 | 5 | 2023 |
| Comprehensive assessment of thermal characteristics, kinetics and environmental impacts of municipal solid waste incineration fly ash during thermal treatment C Zhao, Y Zhao, K Lin, Z Wang, T Zhou Process Safety and Environmental Protection 175, 619-631, 2023 | 5 | 2023 |
| Enhancement of anaerobic digestion from food waste via inert substances based on metagenomic analysis: Oxidative phosphorylation and metabolism X Jiang, Z Li, K Lin, Y Zhao, L Su, T Wu, T Zhou Environmental Research 246, 118033, 2024 | 4 | 2024 |
| Transformer-based enhanced model for accurate prediction and comprehensive analysis of hazardous waste generation in Shanghai: Implications for sustainable waste management … W Shi, Y Zhao, Z Li, W Zhang, T Zhou, K Lin Chemosphere 338, 139579, 2023 | 3 | 2023 |
| Data-driven models applying in household hazardous waste: Amount prediction and classification in Shanghai K Lin, Y Zhao, J Kuo Ecotoxicology and Environmental Safety 263, 115249, 2023 | 3 | 2023 |