Using Machine Learning to Classify Lightning for Earth Networks Total Lightning Network (ENTLN)

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    W[2018AGUFMAE13B2728C]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (5)"]
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ADS bibcode
2018AGUFMAE13B2728C
year
2018
Listed Authors
Cumbulam Thangaraj, S.
Sonnenfeld, R.
Contreras Vidal, L.
Schumann, C.
Stock, M.
Lapierre, J. L.
Hoekzema, M.
Zhu, Y.
Listed Institutions
Earth Networks Inc., Germantown, MD, United States
Department of Physics and Langmuir Laboratory, New Mexico Institute of Mining and Technology, Socorro, NM, United States
New Mexico Institute of Mining and Technology, Socorro, NM, United States
University of the Witwatersrand, Johannesburg, South Africa
Earth Networks Inc., Germantown, MD, United States
Environmental Sciences, University of Virginia, Charlottesville, VA, United States
Earth Networks Inc., Germantown, United States
University of Alabama in Huntsville, Huntsville, United States

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