Home » Camporeale et al. 2018

Bayesian Inference of Radial Diffusion Parameters for the Earth's Radiation Belt: a Deep Learning Framework

Camporeale E., R. Sarma, M. Chandorkar, A. Drozdov, Y. Shprits, (2018), Bayesian Inference of Radial Diffusion Parameters for the Earth’s Radiation Belt: a Deep Learning Framework, AGU 2018 Fall Meeting, SM31D-3515

Authors (sorted by name)

Camporeale Chandorkar Drozdov Sarma Shprits

Journal / Conference

AGU 2018 Fall Meeting

Bibtex

@INPROCEEDINGS{2018AGUFMSM31D3515C,
       author = {{Camporeale}, E. and {Sarma}, R. and {Chandorkar}, M. and {Drozdov}, A. and {Shprits}, Y.},
        title = "{Bayesian Inference of Radial Diffusion Parameters for the Earth's Radiation Belt: a Deep Learning Framework}",
     keywords = {1942 Machine learning, INFORMATICSDE: 7924 Forecasting, SPACE WEATHERDE: 7959 Models, SPACE WEATHERDE: 7999 General or miscellaneous, SPACE WEATHER},
    booktitle = {AGU Fall Meeting 2018},
         year = "2018",
       volume = {2018},
        month = "Dec",
          eid = {SM31D-3515},
        pages = {SM31D-3515},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2018AGUFMSM31D3515C},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}