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ORCIDSai Teja Kanneganti
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2020 – today
- 2021
[c2]Sai Teja Kanneganti, Jin-Song Pei
, Dean Frederick Hougen:
Developing Interpretable Machine Learning for Forward Kinematics of Robotic Arms. SSCI 2021: 1-9- 2020
- [c1]Dean Frederick Hougen, Jin-Song Pei, Sai Teja Kanneganti:
Toward Interpretable Machine Learning for Understanding Epidemic Data. IEEE BigData 2020: 3677-3681
2010 – 2019
- 2019
- [j1]Phillip B. Chilson, Tyler M. Bell, Keith A. Brewster, Gustavo Britto Hupsel de Azevedo, Frederick H. Carr, Kenneth Carson, William Doyle, Christopher A. Fiebrich, Brian R. Greene, James L. Grimsley, Sai Teja Kanneganti, Joshua Martin, Andrew Moore, Robert D. Palmer, Elizabeth A. Pillar-Little, Jorge L. Salazar, Antonio R. Segales, Mark E. Weber, Mark Yeary, Kelvin Droegemeier:
Moving towards a Network of Autonomous UAS Atmospheric Profiling Stations for Observations in the Earth's Lower Atmosphere: The 3D Mesonet Concept. Sensors 19(12): 2720 (2019)
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last updated on 2024-10-07 21:24 CEST by the dblp team
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