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Zhou Zang

Showing results (1-10 of 11) with videos related to

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Environment International|January 31, 2021
Understanding global changes in fine-mode aerosols during 2008-2017 using statistical methods and deep learning approachXing Yan, Zhou Zang, Chuanfeng Zhao, et al.
Zhonghua Yi Xue Za Zhi|November 28, 2008
[Akt activation mediates estrogen-induced neuroprotection against beta amyloid]Hong-Qi Yang, Wei-Zhou Zang, Jun Xu
Environment International|September 13, 2020
New interpretable deep learning model to monitor real-time PM<sub>2.5</sub> concentrations from satellite dataXing Yan, Zhou Zang, Nana Luo, et al.
Environmental Pollution (Barking, Essex : 1987)|February 20, 2021
New global aerosol fine-mode fraction data over land derived from MODIS satellite retrievalsXing Yan, Zhou Zang, Chen Liang, et al.
Nature Communications|May 14, 2024
Stratospheric influence on surface ozone pollution in ChinaZhixiong Chen, Jane Liu, Xiushu Qie, et al.
Environmental Pollution (Barking, Essex : 1987)|January 19, 2021
A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM<sub>2.5</sub>Xing Yan, Zhou Zang, Yize Jiang, et al.
Environmental Science & Technology|November 14, 2023
Exploring Global Land Coarse-Mode Aerosol Changes from 2001-2021 Using a New Spatiotemporal Coaction Deep-Learning ModelZhou Zang, Yue Zhang, Chen Zuo, et al.
Archives of Medical Science : AMS|June 14, 2023
Clinical comparative analysis of monophasic and multiphasic acute disseminated encephalomyelitis in adultsWei-Zhou Zang, Hong Yang, Dan Li, et al.
International Journal of Hygiene and Environmental Health|July 7, 2026
Association between air temperature and COVID-19 emergency department visits in Ontario, Canada: A population-based case-crossover studyNicholas Grubic, Erjia Ge, Zhou Zang, et al.
Environmental Science & Technology|August 3, 2024
Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol RetrievalXing Yan, Zhou Zang, Zhanqing Li, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Environment International|January 31, 2021
Understanding global changes in fine-mode aerosols during 2008-2017 using statistical methods and deep learning approachXing Yan, Zhou Zang, Chuanfeng Zhao, et al.
Zhonghua Yi Xue Za Zhi|November 28, 2008
[Akt activation mediates estrogen-induced neuroprotection against beta amyloid]Hong-Qi Yang, Wei-Zhou Zang, Jun Xu
Environment International|September 13, 2020
New interpretable deep learning model to monitor real-time PM<sub>2.5</sub> concentrations from satellite dataXing Yan, Zhou Zang, Nana Luo, et al.
Environmental Pollution (Barking, Essex : 1987)|February 20, 2021
New global aerosol fine-mode fraction data over land derived from MODIS satellite retrievalsXing Yan, Zhou Zang, Chen Liang, et al.
Nature Communications|May 14, 2024
Stratospheric influence on surface ozone pollution in ChinaZhixiong Chen, Jane Liu, Xiushu Qie, et al.
Environmental Pollution (Barking, Essex : 1987)|January 19, 2021
A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM<sub>2.5</sub>Xing Yan, Zhou Zang, Yize Jiang, et al.
Environmental Science & Technology|November 14, 2023
Exploring Global Land Coarse-Mode Aerosol Changes from 2001-2021 Using a New Spatiotemporal Coaction Deep-Learning ModelZhou Zang, Yue Zhang, Chen Zuo, et al.
Archives of Medical Science : AMS|June 14, 2023
Clinical comparative analysis of monophasic and multiphasic acute disseminated encephalomyelitis in adultsWei-Zhou Zang, Hong Yang, Dan Li, et al.
International Journal of Hygiene and Environmental Health|July 7, 2026
Association between air temperature and COVID-19 emergency department visits in Ontario, Canada: A population-based case-crossover studyNicholas Grubic, Erjia Ge, Zhou Zang, et al.
Environmental Science & Technology|August 3, 2024
Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol RetrievalXing Yan, Zhou Zang, Zhanqing Li, et al.
Pageof 2