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2020 – today
- 2024
[c2]James Parr, Giacomo Acciarini, Chris Bridges, Gonzalo Mateo-Garcia, Enrique Portales Julia, Cormac Purcell, Vít Ruzicka, Anne Spalding, Josh Veitch-Michaelis:
Live Twinning: A Vision of ML Enabled Assets in Leo for Rapid Response to Natural Catastrophes. IGARSS 2024: 685-688- [i3]Josh Veitch-Michaelis, Andrew Cottam, Daniella Schweizer, Eben N. Broadbent, David Dao, Ce Zhang, Angelica Almeyda Zambrano, Simeon Max:
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps. CoRR abs/2407.11743 (2024) - 2020
- [i2]Siddha Ganju, Anirudh Koul, Alexander Lavin, Josh Veitch-Michaelis, Meher Kasam, James Parr:
Learnings from Frontier Development Lab and SpaceML - AI Accelerators for NASA and ESA. CoRR abs/2011.04776 (2020)
2010 – 2019
- 2019
- [i1]Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis
, Guy Schumann, Yarin Gal, Atilim Günes Baydin, Dietmar Backes:
Flood Detection On Low Cost Orbital Hardware. CoRR abs/1910.03019 (2019) - 2016
- [c1]Josh Veitch-Michaelis, Yu Tao, Dave Walton, Jan-Peter Müller, Benjamin Crutchley, Jonathan Storey, Chris Paterson, Andrew Chown:
Crack Detection in "As-Cast" Steel Using Laser Triangulation and Machine Learning. CRV 2016: 342-349
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last updated on 2024-09-28 02:23 CEST by the dblp team
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