Paper

  • Machine Learning Applied to Signals of Opportunity

    International Astronautical Federation (IAF)

    Machine Learning Applied to Signals of Opportunity

    Martin Bransby p180-254 from IAF Space Communications and Navigation Symposium
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  • Machine Learning Landslide Susceptibility Assessment Based on an Ensemble Strategy Framework - A Case Study of Zuogong County

    Aussino Academic Publishing House (AAPH)

    Machine Learning Landslide Susceptibility Assessment Based on an Ensemble Strategy Framework - A Case Study of Zuogong County

    ZHU Kangcheng, XU Tong, WU Hua, KONG Yuzhong, ZHOU Jianwei, HU Sen p742-758 from 12th Academic Conference of Geology Resource Management and Sustainable Development (GRMSD 2024)
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  • Machine Learning Model for Detecting the Shadowed Areas on the Moon

    International Astronautical Federation (IAF)

    Machine Learning Model for Detecting the Shadowed Areas on the Moon

    Yusuf Alqattan, Reem Senan, Muneera Almalki, Hala Hasan p2014-2018 from IAF Space Exploration Symposium
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  • Machine Learning Optimized Process Control and Yield of Artificial Retina In-Space Manufacturing

    International Astronautical Federation (IAF)

    Machine Learning Optimized Process Control and Yield of Artificial Retina In-Space Manufacturing

    Ioana Cozmuta, Nicole Wagner, Remus Osan, Brian Motil p532-537 from IAF Microgravity Sciences and Processes Symposium
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  • Machine Learning to Improve Two-Line Element Analysis Utilizing Analytic Continuation Propagated Fragments

    International Astronautical Federation (IAF)

    Machine Learning to Improve Two-Line Element Analysis Utilizing Analytic Continuation Propagated Fragments

    Katharine Larsen, Tahsinul Tasif, Riccardo Bevilacqua p1636-1646 from 22nd IAA Symposium on Space Debris
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  • Machine Learning-Based Model Predictive Control Motion Planning for Autonomous On-Orbit Assembly

    International Astronautical Federation (IAF)

    Machine Learning-Based Model Predictive Control Motion Planning for Autonomous On-Orbit Assembly

    Siavash Tavana, Sepideh Faghihi, Anton De Ruiter, Krishna D. Kumar p539-550 from IAF Astrodynamics Symposium
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  • Machine Learning-Based Spacecraft Sensors Reconstruction using Flight Telemetry Data

    International Astronautical Federation (IAF)

    Machine Learning-Based Spacecraft Sensors Reconstruction using Flight Telemetry Data

    Francesco Corallo, Giacomo Cianci, Ivan Napoli, Annamaria Nicito, Barbara Bussi p763-774 from IAF Space Operations Symposium
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  • Machine Learning-Driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations

    International Astronautical Federation (IAF)

    Machine Learning-Driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations

    Pablo Gomez, Roland D. Vavrek, Guillermo Buenadicha, John Hoar, Sandor Kruk, Jan Reerink p775-784 from IAF Space Operations Symposium
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  • Machine-Learning-Based Fully Automatic Foam Detection in a Stirred Tank Reactor

    MIXING17 - 17th European Conference on Mixing

    Machine-Learning-Based Fully Automatic Foam Detection in a Stirred Tank Reactor

    S. Hoseini, E. Rundquist, M. Poux, J. Aubin p68-70 from 17th European Conference on Mixing (MIXING 17)
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  • Macro- and Micro-dispersion Characterization of Hose Compounds

    Rubber Division - American Chemical Society (ACS)

    Macro- and Micro-dispersion Characterization of Hose Compounds

    Douglas Hotvedt p545-562 from Fall Technical Meeting of the Rubber Division, American Chemical Society 2024
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  • Macro- And Micromixing and Synthesis of Oxide Particles in Microreactors with Intensively Swirling Flows

    MIXING17 - 17th European Conference on Mixing

    Macro- And Micromixing and Synthesis of Oxide Particles in Microreactors with Intensively Swirling Flows

    Rufat Abiev, Irina Makusheva p112-113 from 17th European Conference on Mixing (MIXING 17)
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