Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Asteroids Engineering & Materials Science
asteroids Physics & Astronomy
sliding Physics & Astronomy
Spacecraft Engineering & Materials Science
Landing Engineering & Materials Science
asteroid Earth & Environmental Sciences
Earth (planet) Engineering & Materials Science
Trajectories Engineering & Materials Science

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Research Output 2004 2017

  • 508 Citations
  • 13 h-Index
  • 79 Conference contribution
  • 40 Article
  • 4 Chapter

A deep learning approach for optical autonomous planetary relative terrain navigation

Campbell, T., Furfaro, R., Linares, R. & Gaylor, D. 2017 Spaceflight Mechanics 2017. Univelt Inc., Vol. 160, p. 3293-3302 10 p.

Research output: ResearchConference contribution

navigation
learning
Navigation
Neural networks
Deep learning

Application of Extreme Learning Machines to inverse neutron kinetics

Picca, P. & Furfaro, R. Feb 1 2017 In : Annals of Nuclear Energy. 100, p. 1-8 8 p.

Research output: Research - peer-reviewArticle

Learning systems
Neutrons
Kinetics
Neural networks
Particle accelerators

Application of the Transport-Driven Diffusion Approach for Criticality Calculations

Picca, P. & Furfaro, R. Jun 7 2017 In : Journal of Computational and Theoretical Transport. 46, 4, p. 258-282 25 p.

Research output: Research - peer-reviewArticle

Criticality
configurations
performance
Configuration
neutral particles

Modelling irregular small bodies gravity field via extreme learning machines

Furfaro, R., Linares, R., Reddy, V., Simo, J. & Le Corre, L. 2017 Spaceflight Mechanics 2017. Univelt Inc., Vol. 160, p. 471-486 16 p.

Research output: ResearchConference contribution

gravity field
modeling
machine learning
gravitation
Learning systems

Policy gradient approach for dynamic sensor tasking applied to space situational awareness

Linares, R. & Furfaro, R. 2017 Spaceflight Mechanics 2017. Univelt Inc., Vol. 160, p. 1247-1257 11 p.

Research output: ResearchConference contribution

situational awareness
gradients
sensors
Reinforcement learning
Sensors