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SpaceML: Distributed Open-source Research with Citizen Scientists for
  the Advancement of Space Technology for NASA

SpaceML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA

19 December 2020
Anirudh Koul
Siddha Ganju
M. Kasam
James Parr
ArXivPDFHTML

Papers citing "SpaceML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA"

2 / 2 papers shown
Title
Global geomagnetic perturbation forecasting using Deep Learning
Global geomagnetic perturbation forecasting using Deep Learning
Vishal Upendran
P. Tigas
B. Ferdousi
T. Bloch
Mark C. M. Cheung
Siddha Ganju
A. Bhatt
R. McGranaghan
Y. Gal
AI4Cl
10
7
0
12 May 2022
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models
  for NASA MODIS Instruments
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
Sarah Chen
Esther Cao
Anirudh Koul
Siddha Ganju
Satyarth Praveen
M. Kasam
17
2
0
13 Jun 2021
1