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Kunsen Lin

Showing results (1-10 of 26) with videos related to

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Chemosphere|August 23, 2022
Deep learning hybrid predictions for the amount of municipal solid waste: A case study in ShanghaiKunsen Lin, Youcai Zhao, Jia-Hong Kuo
Ecotoxicology and Environmental Safety|July 13, 2023
Data-driven models applying in household hazardous waste: Amount prediction and classification in ShanghaiKunsen Lin, Youcai Zhao, Jia-Hong Kuo
Journal of Hazardous Materials|June 12, 2023
Hi-MGT: A hybrid molecule graph transformer for toxicity identificationZhichao Tan, Youcai Zhao, Tao Zhou, et al.
Journal of Environmental Sciences (China)|March 6, 2025
Generative discovery of safer chemical alternatives using diffusion modeling: A case study in green solvent design for cyclohexane/benzene extractive distillationZhichao Tan, Kunsen Lin, Youcai Zhao, et al.
Journal of Hazardous Materials|July 22, 2024
Multi-task pretrained language model with novel application domains enables more comprehensive health and ecological toxicity predictionZhichao Tan, Youcai Zhao, Kunsen Lin, et al.
Journal of Hazardous Materials|February 12, 2025
Metagenomic analysis of viral community during different municipal solid waste collection and treatment processes: Fate, hosts, and antibiotic resistance genesYanyan Guo, Youcai Zhao, Kunsen Lin, et al.
The Science of the Total Environment|November 9, 2022
Agglomeration-influenced transformation of heavy metals in gas-solid phases during simulated sewage sludge co-incineration: Effects of phosphorus and operating temperatureKunsen Lin, Youcai Zhao, Jia-Hong Kuo, et al.
The Science of the Total Environment|December 2, 2023
Toward a comprehensive understanding of alicyclic compounds: Bio-effects perspective and deep learning approachWenjie Shi, Kunsen Lin, Youcai Zhao, et al.
Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA|December 4, 2019
Sequential extraction for heavy metal distribution of bottom ash from fluidized bed co-combusted phosphorus-rich sludge under the agglomeration/defluidization processKunsen Lin, Jia-Hong Kuo, Chiou-Liang Lin, et al.
Waste Management (New York, N.Y.)|September 5, 2025
Interpretable machine learning for predicting key hazardous properties of chemicalsKunsen Lin, Boyang Liao, Xiaochuan Chen, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Chemosphere|August 23, 2022
Deep learning hybrid predictions for the amount of municipal solid waste: A case study in ShanghaiKunsen Lin, Youcai Zhao, Jia-Hong Kuo
Ecotoxicology and Environmental Safety|July 13, 2023
Data-driven models applying in household hazardous waste: Amount prediction and classification in ShanghaiKunsen Lin, Youcai Zhao, Jia-Hong Kuo
Journal of Hazardous Materials|June 12, 2023
Hi-MGT: A hybrid molecule graph transformer for toxicity identificationZhichao Tan, Youcai Zhao, Tao Zhou, et al.
Journal of Environmental Sciences (China)|March 6, 2025
Generative discovery of safer chemical alternatives using diffusion modeling: A case study in green solvent design for cyclohexane/benzene extractive distillationZhichao Tan, Kunsen Lin, Youcai Zhao, et al.
Journal of Hazardous Materials|July 22, 2024
Multi-task pretrained language model with novel application domains enables more comprehensive health and ecological toxicity predictionZhichao Tan, Youcai Zhao, Kunsen Lin, et al.
Journal of Hazardous Materials|February 12, 2025
Metagenomic analysis of viral community during different municipal solid waste collection and treatment processes: Fate, hosts, and antibiotic resistance genesYanyan Guo, Youcai Zhao, Kunsen Lin, et al.
The Science of the Total Environment|November 9, 2022
Agglomeration-influenced transformation of heavy metals in gas-solid phases during simulated sewage sludge co-incineration: Effects of phosphorus and operating temperatureKunsen Lin, Youcai Zhao, Jia-Hong Kuo, et al.
The Science of the Total Environment|December 2, 2023
Toward a comprehensive understanding of alicyclic compounds: Bio-effects perspective and deep learning approachWenjie Shi, Kunsen Lin, Youcai Zhao, et al.
Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA|December 4, 2019
Sequential extraction for heavy metal distribution of bottom ash from fluidized bed co-combusted phosphorus-rich sludge under the agglomeration/defluidization processKunsen Lin, Jia-Hong Kuo, Chiou-Liang Lin, et al.
Waste Management (New York, N.Y.)|September 5, 2025
Interpretable machine learning for predicting key hazardous properties of chemicalsKunsen Lin, Boyang Liao, Xiaochuan Chen, et al.
Pageof 3