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Promoting a-priori Interoperability of HLA-Based Simulations in the Space Domain: The SISO Space Reference FOM Initiative.

, , , , and . DS-RT, page 100-107. IEEE Computer Society, (2016)

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Relaxed Attention for Transformer Models., , , and . CoRR, (2022)On the execution control of HLA federations using the SISO space reference FOM., , , , and . DS-RT, page 75-82. IEEE Computer Society, (2017)Is Bigger Always Better? Lessons Learnt from the Evolution of Deep Learning Architectures for Image Classification, , , and . 2019 Pre-ICIS SIGDSA Symposium, page 1-16. München, AIS, (2019)A multiresolution 100-GOPS 4-Gpixels/s programmable smart vision sensor for multisense imaging., , , and . IEEE J. Solid State Circuits, 40 (6): 1350-1359 (2005)SpaceFOM - A robust standard for enabling a-priori interoperability of HLA-based space systems simulations., , , , and . J. Simulation, 16 (6): 624-644 (2022)Enabling Simulation Interoperability between International Standards in the Space Domain., , , , and . DS-RT, page 127-134. IEEE, (2022)Relaxed Attention for Transformer Models., , , and . IJCNN, page 1-10. IEEE, (2023)How Sustainable is COBIT 5? Insights from Theoretical Analysis and Empirical Survey Data., , , and . AMCIS, Association for Information Systems, (2013)Objekterkennung im Weinanbau - Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning., , , , and . HMD Prax. der Wirtschaftsinformatik, 56 (5): 964-985 (2019)Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting., , , , and . Wirtschaftsinformatik, page 407-421. University of Siegen, Germany / AISeL, (2019)