Swope's Publications

BibBase swope, j
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  2022 (10)
Buckley, L.; Dunkel, E.; Romero-Cañas, J.; Espinosa-Aranda, J.; Hervas-Martin, E.; Swope, J.; Towfic, Z.; Chien, S.; Russell, D.; Sauvageau, J.; Sheldon, D.; Fernandez, M.; and Knox, C. Benchmarking Deep Learning on The Myriad X Processor Onboard the International Space Station. In Flight Software Workshop, February 2022.
Benchmarking Deep Learning on The Myriad X Processor Onboard the International Space Station [pdf]Paper   link   bibtex  
Swope, J.; Dunkel, E.; and Chien, S. Validation of Flight Software on the Qualcomm Snapdragon 855 on the International Space Station. In Flight Software Workshop, February 2022.
Validation of Flight Software on the Qualcomm Snapdragon 855 on the International Space Station [pdf]Paper   link   bibtex  
Candela, A.; Swope, J.; Chien, S.; Su, H.; and Tavallali, P. Dynamic Targeting for Improved Tracking of Storm Features. In International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, July 2022.
Dynamic Targeting for Improved Tracking of Storm Features [pdf]Paper   link   bibtex  
Swope, J.; Mirza, F.; Dunkel, E.; Towfic, Z.; Russell, D.; Sauvageau, J.; Sheldon, D.; Chien, S.; Fernandez, M.; and Knox, C. Benchmarking Remote Sensing Image Processing and Analysis on the Snapdragon Processor Onboard the International Space Station. In International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, July 2022.
Benchmarking Remote Sensing Image Processing and Analysis on the Snapdragon Processor Onboard the International Space Station [pdf]Paper   link   bibtex  
Dunkel, E.; Swope, J.; Towfic, Z.; Chien, S.; Russell, D.; Sauvageau, J.; Sheldon, D.; Romero-Canas, J.; Espinosa-Aranda, J. L.; Buckley, L.; Hervas-Martin, E.; Fernandez, M.; and Knox, C. Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon and Intel Movidius Myriad X Processors Onboard the International Space Station. In International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, July 2022.
Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon and Intel Movidius Myriad X Processors Onboard the International Space Station [pdf]Paper   link   bibtex  
Candela, A.; Swope, J.; and Chien, S. Dynamic Targeting for Cloud Avoidance to Improve Science of Space Missions. In 16th Symposium on Advanced Space Technologies in Robotics and Automation, June 2022.
Dynamic Targeting for Cloud Avoidance to Improve Science of Space Missions [pdf]Paper   link   bibtex  
Swope, J.; Mirza, F.; Dunkel, E.; Candela, A.; Towfic, Z.; Chien, S.; Russell, D.; Sauvageau, J.; Sheldon, D.; Fernandez, M.; and Knox, C. Benchmarking Remote Sensing Image Processing And Mission Planning Applications On The Snapdragon Processor Onboard The International Space Station. In 16th Symposium on Advanced Space Technologies in Robotics and Automation, June 2022.
Benchmarking Remote Sensing Image Processing And Mission Planning Applications On The Snapdragon Processor Onboard The International Space Station [pdf]Paper   link   bibtex  
Dunkel, E.; Swope, J.; Candela, A.; West, L.; Chien, S.; Buckley, Ĺ.; Romero-Cañas, J.; Espinosa-Aranda, J. L.; Hervas-Martin, E.; Towfic, Z.; Russell, D.; Sauvageau, J.; Sheldon, D.; Fernandez, M.; and Knox, C. Testing Mars Rover, Spectral Unmixing, And Ship Detection Neural Networks, And Memory Checkers On Embedded Systems Onboard The Iss. In 16th Symposium on Advanced Space Technologies in Robotics and Automation, June 2022.
Testing Mars Rover, Spectral Unmixing, And Ship Detection Neural Networks, And Memory Checkers On Embedded Systems Onboard The Iss [pdf]Paper   link   bibtex  
Ogut, M.; Bosch-Lluis, X.; Kangaslahti, P.; Ramos-Perez, I.; Munoz-Martin, J. F.; Cooperrider, J.; Yue, Q.; Swope, J.; Tavallali, P.; Chien, S.; Pradhan, O.; Deal, W.; and Cooke, C. Autonomous Capabilities And Command And Data Handling Design For The Smart Remote Sensing Of Cloud Ice. In International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, July 2022.
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Towfic, Z.; Ogbe, D.; Sauvageau, J.; Sheldon, D.; Jongeling, A.; Chien, S.; Mirza, F.; Dunkel, E.; Swope, J.; Ogut, M.; Cretu, V.; and Pagnotta, C. Benchmarking and Testing of Qualcomm Snapdragon System-on-Chip for JPL Space Applications and Missions. In 2022 IEEE Aerospace Conference (AERO), pages 1-12, 2022.
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  2021 (8)
Tavallali, P.; Chien, S.; Mandrake, L.; Marchetti, Y.; Su, H.; Wu, L.; Smith, B.; Branch, A.; Mason, J.; and Swope, J. Adaptive Model-driven Observations for Earth Sciences. In Proceedings of the 101st American Meteorological Society Annual Meeting, Washington, DC, USA, 2021. American Meteorological Society For full paper see i-SAIRAS 2020
Adaptive Model-driven Observations for Earth Sciences [link]Paper   link   bibtex  
Bosch-Lluis, X.; Chien, S.; Q.Yue; Swope, J.; P., P. T.; Ogut, M.; Ramos, I.; Kangaslahti, P.; Deal, W.; and Cooke, C. Developing Radiometer and Radar synergies using Machine Learning. In International Geoscience and Remote Sensing Symposium, July 2021.
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Mirza, F.; Swope, J.; and Chien, S Benchmarking Planning Applications on the Qualcomm Snapdragon. In International Workshop on Planning & Scheduling for Space (IWPSS), July 2021.
Benchmarking Planning Applications on the Qualcomm Snapdragon [pdf]Paper   link   bibtex  
Mirza, F.; Swope, J.; Dunkel, E.; Towfic, Z.; Russell, D.; Sauvageau, J.; Sheldon, D.; Chien, S.; Fernandez, M.; and Knox, C. Flight Validating Artificial Intelligence Software on The Qualcomm Snapdragon Processor Onboard the ISS. In International Space Station Research and Development Conference, August 2021.
Flight Validating Artificial Intelligence Software on The Qualcomm Snapdragon Processor Onboard the ISS [pdf]Paper   link   bibtex  
Dunkel, E.; Espinosa-Aranda, J. L.; Romero-Canas, J.; Buckley, L.; ; Towfic, Z.; Mirza, F.; Swope, J.; Russell, D.; Sauvaeau, J.; Sheldon, D.; Chien, S.; Fernandez, M.; Knox, C.; Wagstaff, K.; Lu, S.; Denbina, M.; Atha, D.; Swan, M.; and Ono, M. Benchmarking Machine Learning on The Myriad X Processor Onboard the ISS. In International Space Station Research and Development Conference, August 2021.
Benchmarking Machine Learning on The Myriad X Processor Onboard the ISS [pptx]Paper   link   bibtex  
Swope, J.; Chien, S.; Bosch-Lluis, X.; Yue, Q.; Tavallali, P.; Ogut, M.; Ramos, I.; Kangaslahti, P.; Deal, W.; and Cooke, C. Using Intelligent Targeting to increase the science return of a Smart Ice Storm Hunting Radar. In International Workshop on Planning & Scheduling for Space (IWPSS), July 2021.
Using Intelligent Targeting to increase the science return of a Smart Ice Storm Hunting Radar [pdf]Paper   link   bibtex  
Hasnain, Z.; Mason, J.; Swope, J.; Vander Hook, J.; and Chien, S. Agile Spacecraft Imaging Algorithm Comparison for Earth Science. In International Workshop on Planning & Scheduling for Space (IWPSS), July 2021.
Agile Spacecraft Imaging Algorithm Comparison for Earth Science [pdf]Paper   link   bibtex  
Chien, S.; Swope, J.; Yue, Q.; Lluis-Bosch, J.; and Deal, W. Using a Digital Twin Weather Research and Forecasting (WRF) Model for Machine Learning of Deep Convective Ice Storms. In Proceedings of the Fall Meeting of the American Geophysical Union, Washington, DC, USA, 2021. American Geophysical Union
Using a Digital Twin Weather Research and Forecasting (WRF) Model for Machine Learning of Deep Convective Ice Storms [link]Paper   link   bibtex  
  2020 (2)
Tavallali, P.; Chien, S.; Mandrake, L.; Marchetti, Y.; Su, H.; Wu, L.; Smith, B.; Branch, A.; Mason, J.; and Swope, J. Adaptive Model-driven Observation for Earth Science. In Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation for Space, of i-SAIRAS'2020, Noordwijk, NL, 2020. European Space Agency
Adaptive Model-driven Observation for Earth Science [pdf]Paper   link   bibtex  
Tavallali, P.; Chien, S.; Mandrake, L.; Marchetti, Y.; Su, H.; Wu, L.; Smith, B.; Branch, A.; Mason, J.; and Swope, J. Adaptive Model-driven Observation for Earth Science. In Proceedings of the Fall Meeting of the American Geophysical Union, Washington, DC, USA, 2020. American Geophysical Union For full paper see i-SAIRAS 2020
Adaptive Model-driven Observation for Earth Science [link]Paper   link   bibtex