Browsing JPL TRS 1992+ by Title

Now showing items 16244-16263 of 32828

M0/Na***subx***TiO***sub2*** Mixed Conducting Electrodes for the Alkali Metal Thermal to Electric Converter

Ryan, M.; Williams, R.; Fiebig, B.; Kisor, A.; Cortez, R.; Homer, M.; Shields, V. (2000-05-14)
M1 mirror print-thru investigation and performance on the thermo-opto-mechanical testbed for the Space Interferometry Mission

Feria, V. Alfonso; Lam, Jonathan; Van Buren, Dave (Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2006., 2006-05-24)

This paper presents the studies carried out to determine the source of the surface distortions on the M1 mirror as well as comparison and model validation during testing. This research was carried out at the Jet Propulsion ...
M2020 chute test photos

Hopper, Monica G. (2017-10-04)
M2020 on-board terrain relative navigation

Brugarolas, P.B.; Casoliva, J.; Chen, A.; Johnson, A.; Mohan, S.; Stehura, A.; Way, D.; Dutta, S. (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2017, 2017-05-12)
M2020 Percussion Drill Validations and Predictions of Explicit Dynamics Simulations

Siddens, Aaron (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2018, 2018-06-26)
M2020 Rover rear views with RIMFAX antenna and electronics box visible

Diaz, Christina; Allen, Bill (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2016, 2017-06-01)
M2020/MSL: TDS (Terminal Descent Sensor) DEA (Digital Electronics Assembly)

Ashtijou, Mohammad (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2016, 2016-06-16)
M2020: bit holder assembly; modeling local nonlinearity in linear transient solution

Ataei, Navid (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2017, 2017-08-15)
The M9.0 Tohoku and M6.3 Christchurch earthquakes : what we’ve learned about the capabilities and limits of space geodesy.

Owen, Susan; Simons, Mark; Webb, Frank; Yun, Sang-Ho; Fielding, Eric; Cruz, Jennifer (Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2011., 2011-09-28)
MAARS: MAchine learning-based Analytics for Rover Systems

Ono, Masahiro; Rothrock, Brandon; Otsu, Kyohei; Higa, Shoya; Iwashita, Yumi; Didier, Annie; Islam, Tanvir; Laporte, Chris; Sun, Vivian; Stack, Kathryn; Sawoniewicz, Jacek; Daftry, Shreyansh; Timmaraju, Virisha; Mattmann, Chris A.; Lamarre, Olivier; Ghosh, Sourish; Qou, Dicong; Nomura, Shunichiro; Sarabu, Hemanth; Hedrick, Gabrielle; Folsom, Larkin; Suehr, Sean; Park, Hyoshin (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2020, 2020-03-07)
MAARSL: automated mapping and characterization of recurring slope linea from HiRISE data

Bue, Brian D.; Wagstaff, Kiri L.; Stillman, David E. (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2017, 2017-10-15)
MACH Filter Synthesizing for Detecting Targets in Cluttered Environment for Gray-Scale Optical Correlator

Zhou, H.; Chao, T-H. (1999-04-05)
MACHETE: environment for space networking evaluation

Jennings, Esther H.; Segui, John S.; Woo, Simon (Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2010, 2010-04-25)

Space Exploration missions requires the design and implementation of space networking that differs from terrestrial networks. In a space networking architecture, interplanetary communication protocols need to be designed, ...
MACHETE: environment for space networking evaluation

Jennings, Esther; Segui, John; Woo, Simon; Clare, Loren (Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2010, 2010-04-25)
Machine learning and instrument autonomy

Bue, Brian; Estlin, Tara; Altinok, Alphan; Burl, Mike; Chu, Selina; Doran, Gary; Granat, Rob; Huffman, William; Kiran, Ravi; Mandrake, Lukas; Rebbapragada, Umaa; Tang, Benyang; Wagstaff, Kiri (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2016, 2016-01-11)
Machine learning and instrument autonomy: allowing spacecraft to do more, with less

Lightholder, Jack (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2018, 2018-06-04)
Machine Learning Approaches for General Satellite Maneuvers

Alimo, Shahrouz Ryan (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2018, 2018-11-27)
Machine Learning as a Service for the Earth Sciences

Shah, Sujen (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019, 2019-07-16)
Machine learning at JPL

Altinok, Alphan (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2017, 2017-12-07)
Machine Learning based Uncertainty Quantification for Wind- Tracking Algorithms

Teixeira, Joaquim; Nguyen, Hai; Posselt, Derek; Su, Hui (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019, 2019-08-11)

Now showing items 16244-16263 of 32828

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