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Kunsen Lin

Showing results (21-30 of 26) with videos related to

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Environmental Science & Technology|April 28, 2026
Reliable Aquatic Toxicity Prediction via Embedding-Aware Applicability DomainsKunsen Lin, Boyang Liao, Hao Ye, et al.
Bioresource Technology|November 8, 2024
Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning modelsYanyan Guo, Youcai Zhao, Zongsheng Li, et al.
Water Research|July 22, 2025
Distribution and Property Prediction of Microplastics in Landfill Leachate under Different Treatment Processes Using Knowledge Graph-Enhanced Molecular Contrastive LearningMeilan Zhang, Xuwei Zhao, Jia-Hong Kuo, et al.
Journal of Environmental Management|June 19, 2022
Deep convolutional neural networks for construction and demolition waste classification: VGGNet structures, cyclical learning rate, and knowledge transferKunsen Lin, Tao Zhou, Xiaofeng Gao, et al.
Environmental Science and Pollution Research International|July 26, 2022
Applying a deep residual network coupling with transfer learning for recyclable waste sortingKunsen Lin, Youcai Zhao, Xiaofeng Gao, et al.
Scientific Data|July 15, 2025
An inventory of industrial solid waste in 337 cities of China: Applying machine learning for data completionQian Jia, Kunsen Lin, Jiawei Zhuang, et al.
Pageof 3

Showing results (21-30 of 26) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 26 results.
Environmental Science & Technology|April 28, 2026
Reliable Aquatic Toxicity Prediction via Embedding-Aware Applicability DomainsKunsen Lin, Boyang Liao, Hao Ye, et al.
Bioresource Technology|November 8, 2024
Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning modelsYanyan Guo, Youcai Zhao, Zongsheng Li, et al.
Water Research|July 22, 2025
Distribution and Property Prediction of Microplastics in Landfill Leachate under Different Treatment Processes Using Knowledge Graph-Enhanced Molecular Contrastive LearningMeilan Zhang, Xuwei Zhao, Jia-Hong Kuo, et al.
Journal of Environmental Management|June 19, 2022
Deep convolutional neural networks for construction and demolition waste classification: VGGNet structures, cyclical learning rate, and knowledge transferKunsen Lin, Tao Zhou, Xiaofeng Gao, et al.
Environmental Science and Pollution Research International|July 26, 2022
Applying a deep residual network coupling with transfer learning for recyclable waste sortingKunsen Lin, Youcai Zhao, Xiaofeng Gao, et al.
Scientific Data|July 15, 2025
An inventory of industrial solid waste in 337 cities of China: Applying machine learning for data completionQian Jia, Kunsen Lin, Jiawei Zhuang, et al.
Pageof 3