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L-DIT: A dApp for Live Detectability, Identifiability and Trackability for ASOs on the Behavioral Dynamics Blockchain

Autor: Chowdhury, Anirban, Latif, Yasir, Jah, Moriba K., Bagchi, Samya

As the number of Anthropogenic Space Objects (ASOs) grows, there is an urgent need to ensure space safety, security, and sustainability (S3) for long-term space use. Currently, no globally effective method can quantify the safety, security, and Susta

Externí odkaz: http://arxiv.org/abs/2404.18350

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Extracting Space Situational Awareness Events from News Text

Autor: Xie, Zhengnan, Kwak, Alice Saebom, George, Enfa, Dozal, Laura W., Van, Hoang, Jah, Moriba, Furfaro, Roberto, Jansen, Peter

Space situational awareness typically makes use of physical measurements from radar, telescopes, and other assets to monitor satellites and other spacecraft for operational, navigational, and defense purposes. In this work we explore using textual in

Externí odkaz: http://arxiv.org/abs/2201.05721

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Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles

Autor: Benson, Bernard, Brown, Edward, Bonasera, Stefano, Acciarini, Giacomo, Pérez-Hernández, Jorge A., Sutton, Eric, Jah, Moriba K., Bridges, Christopher, Jin, Meng, Baydin, Atılım Güneş

Solar radio flux along with geomagnetic indices are important indicators of solar activity and its effects. Extreme solar events such as flares and geomagnetic storms can negatively affect the space environment including satellites in low-Earth orbit

Externí odkaz: http://arxiv.org/abs/2112.09051

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