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Qingshi Tu

Showing results (1-10 of 18) with videos related to

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Environmental Science & Technology|July 18, 2017
Meta-analysis and Harmonization of Life Cycle Assessment Studies for Algae BiofuelsQingshi Tu, Matthew Eckelman, Julie Zimmerman
Journal of Industrial Ecology|April 24, 2026
Delineating the embodied CO<sub>2</sub> emissions in Canada's exports: Routes, drivers, and pathsQiuping Li, Sanmang Wu, Qingshi Tu
Environmental Science & Technology|August 22, 2025
A Bottom-Up Approach Integrating Computer Vision with Material Flow Analysis to Estimate the Recycling Potential of Distributed Solar Panels Using Satellite ImageryPeijin Jiang, Hanwen Xu, Qingshi Tu
Waste Management (New York, N.Y.)|February 21, 2015
Converting campus waste into renewable energy - a case study for the University of CincinnatiQingshi Tu, Chao Zhu, Drew C McAvoy
Journal of Industrial Ecology|April 29, 2026
A data-centric investigation on the challenges of machine learning methods for bridging life cycle inventory data gapsBu Zhao, Jitong Jiang, Ming Xu, et al.
The Science of the Total Environment|February 4, 2026
Impacts of wildfire-related chemicals on surface drinking water sources: Status and research gapsRaul de Leon Rabago, Loretta Li, Qingshi Tu
Water Environment Research : a Research Publication of the Water Environment Federation|January 24, 2016
Review of Water Consumption and Water Conservation Technologies in the Algal Biofuel ProcessQingshi Tu, Mingming Lu, Worrarat Thiansathit, et al.
Waste Management (New York, N.Y.)|June 4, 2016
A solvent-free approach to extract the lipid fraction from sewer grease for biodiesel productionQingshi Tu, Jingjing Wang, Mingming Lu, et al.
Journal of Environmental Management|January 22, 2022
Improving litterfall production prediction in China under variable environmental conditions using machine learning algorithmsAixin Geng, Qingshi Tu, Jiaxin Chen, et al.
Environmental Science & Technology|October 21, 2024
Mitigating Grand Challenges in Life Cycle Inventory Modeling through the Applications of Large Language ModelsQingshi Tu, Jing Guo, Nan Li, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Environmental Science & Technology|July 18, 2017
Meta-analysis and Harmonization of Life Cycle Assessment Studies for Algae BiofuelsQingshi Tu, Matthew Eckelman, Julie Zimmerman
Journal of Industrial Ecology|April 24, 2026
Delineating the embodied CO<sub>2</sub> emissions in Canada's exports: Routes, drivers, and pathsQiuping Li, Sanmang Wu, Qingshi Tu
Environmental Science & Technology|August 22, 2025
A Bottom-Up Approach Integrating Computer Vision with Material Flow Analysis to Estimate the Recycling Potential of Distributed Solar Panels Using Satellite ImageryPeijin Jiang, Hanwen Xu, Qingshi Tu
Waste Management (New York, N.Y.)|February 21, 2015
Converting campus waste into renewable energy - a case study for the University of CincinnatiQingshi Tu, Chao Zhu, Drew C McAvoy
Journal of Industrial Ecology|April 29, 2026
A data-centric investigation on the challenges of machine learning methods for bridging life cycle inventory data gapsBu Zhao, Jitong Jiang, Ming Xu, et al.
The Science of the Total Environment|February 4, 2026
Impacts of wildfire-related chemicals on surface drinking water sources: Status and research gapsRaul de Leon Rabago, Loretta Li, Qingshi Tu
Water Environment Research : a Research Publication of the Water Environment Federation|January 24, 2016
Review of Water Consumption and Water Conservation Technologies in the Algal Biofuel ProcessQingshi Tu, Mingming Lu, Worrarat Thiansathit, et al.
Waste Management (New York, N.Y.)|June 4, 2016
A solvent-free approach to extract the lipid fraction from sewer grease for biodiesel productionQingshi Tu, Jingjing Wang, Mingming Lu, et al.
Journal of Environmental Management|January 22, 2022
Improving litterfall production prediction in China under variable environmental conditions using machine learning algorithmsAixin Geng, Qingshi Tu, Jiaxin Chen, et al.
Environmental Science & Technology|October 21, 2024
Mitigating Grand Challenges in Life Cycle Inventory Modeling through the Applications of Large Language ModelsQingshi Tu, Jing Guo, Nan Li, et al.
Pageof 2