Search Results - Kashfi Yeganeh, Arash

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  1. 1
    A case study of surface ozone source contributions in the Seoul metropolitan area using the adjoint of CMAQ

    A case study of surface ozone source contributions in the Seoul metropolitan area using the adjoint of CMAQ by Kashfi Yeganeh, Arash, Momeni, Mahmoudreza, Choi, Yunsoo, Park, Jincheol, Jung, Jia

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  2. 2
    Constraining East Asia ammonia emissions through satellite observations and iterative Finite Difference Mass Balance (iFDMB) and investigating its impact on inorganic fine particulate matter

    Constraining East Asia ammonia emissions through satellite observations and iterative Finite Difference Mass Balance (iFDMB) and investigating its impact on inorganic fine particul... by Momeni, Mahmoudreza, Choi, Yunsoo, Kashfi Yeganeh, Arash, Pouyaei, Arman, Jung, Jia, Park, Jincheol, Shephard, Mark W., Dammers, Enrico, Cady-Pereira, Karen E.

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  3. 3
    First top-down diurnal adjustment to NOx emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO2 columns

    First top-down diurnal adjustment to NOx emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO2 columns by Park, Jincheol, Choi, Yunsoo, Jung, Jia, Lee, Kyunghwa, Yeganeh, Arash Kashfi

    Published in Scientific reports
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  4. 4
    WITHDRAWN: Machine Learning with Spatial Interpolation Techniques for Constructing 2-Dimensional Ozone Concentrations in Southern California during the COVID-19 Shutdown

    WITHDRAWN: Machine Learning with Spatial Interpolation Techniques for Constructing 2-Dimensional Ozone Concentrations in Southern California during the COVID-19 Shutdown by Do, Khanh, Yeganeh, Arash Kashfi, Gao, Ziqi, Ivey, Cesunica E.

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  5. 5
    A comprehensive approach combining positive matrix factorization modeling, meteorology, and machine learning for source apportionment of surface ozone precursors: Underlying factors contributing to ozone formation in Houston, Texas

    A comprehensive approach combining positive matrix factorization modeling, meteorology, and machine learning for source apportionment of surface ozone precursors: Underlying factor... by Nelson, Delaney, Choi, Yunsoo, Sadeghi, Bavand, Yeganeh, Arash Kashfi, Ghahremanloo, Masoud, Park, Jincheol

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  6. 6
    Multi-Source Transfer Learning for zero-shot Structural Damage Detection

    Multi-Source Transfer Learning for zero-shot Structural Damage Detection by Soleimani-Babakamali, Mohammad Hesam, Soleimani-Babakamali, Roksana, Kashfi-Yeganeh, Arash, Nasrollahzadeh, Kourosh, Avci, Onur, Kiranyaz, Serkan, Taciroglu, Ertugrul

    Published in Applied soft computing
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  7. 7
    Machine learning with spatial interpolation techniques for constructing 2-dimensional ozone concentrations in Southern California during the COVID-19 shutdown

    Machine learning with spatial interpolation techniques for constructing 2-dimensional ozone concentrations in Southern California during the COVID-19 shutdown by Do, Khanh, Yeganeh, Arash Kashfi, Gao, Ziqi, Ivey, Cesunica E

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  8. 8
    First top-down diurnal adjustment to NO x emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO 2 columns

    First top-down diurnal adjustment to NO x emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO 2 columns by Park, Jincheol, Choi, Yunsoo, Jung, Jia, Lee, Kyunghwa, Yeganeh, Arash Kashfi

    Published in Scientific reports
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  9. 9
    Performance of machine learning for ozone modeling in Southern California during the COVID-19 shutdown

    Performance of machine learning for ozone modeling in Southern California during the COVID-19 shutdown by Do, Khanh, Yeganeh, Arash Kashfi, Gao, Ziqi, Ivey, Cesunica E

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  10. 10
    Emerging investigator series: a machine learning approach to quantify the impact of meteorology on tropospheric ozone in the inland southern California

    Emerging investigator series: a machine learning approach to quantify the impact of meteorology on tropospheric ozone in the inland southern California by Do, Khanh, Mahish, Manasi, Yeganeh, Arash Kashfi, Gao, Ziqi, Blanchard, Charles L, Ivey, Cesunica E

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