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| papers:start [2025-03-28 11:48]  –  Markus Peuhkuri | papers:start [2025-03-28 12:14] (current)  – Completed update of years 2022-2024 Markus Peuhkuri | 
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| |  2022  |  13| | |  2022  |  13| | 
| |  2023  |  11 | | |  2023  |  11 | | 
| |  2024  |   3 |  | |  2024  |   10 |  | 
| |  Total  |  85| | |  Total  |  92 | | 
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| ===== 2017 ===== | ===== 2017 ===== | 
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| ===== 2024 ===== | ===== 2024 ===== | 
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|   | A. Amato et al., "A Performance Cost/Benefit Analysis of Adaptive Computing in the Tactical Edge," 2024 International Conference on Military Communication and Information Systems (ICMCIS), Koblenz, Germany, 2024, pp. 1-8, doi: 10.1109/ICMCIS61231.2024.10541027. | 
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| N. Auler, C. Fuchs, B. Schütz and D. Weber, "Evaluating the Potential of Multipath TCP in Tactical Communications," 2024 International Conference on Military Communication and Information Systems (ICMCIS), Koblenz, Germany, 2024, pp. 01-07, doi: 10.1109/ICMCIS61231.2024.10540702. | N. Auler, C. Fuchs, B. Schütz and D. Weber, "Evaluating the Potential of Multipath TCP in Tactical Communications," 2024 International Conference on Military Communication and Information Systems (ICMCIS), Koblenz, Germany, 2024, pp. 01-07, doi: 10.1109/ICMCIS61231.2024.10540702. | 
| L. Campioni, E. Di Caro, M. Breedy, J. Nilsson and N. Suri, "A Network Connectivity Analysis of the Anglova Scenario," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 1180-1185, doi: 10.1109/MILCOM61039.2024.10773641.  | L. Campioni, E. Di Caro, M. Breedy, J. Nilsson and N. Suri, "A Network Connectivity Analysis of the Anglova Scenario," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 1180-1185, doi: 10.1109/MILCOM61039.2024.10773641.  | 
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| A. Hansson, A. Komulainen, U. Sterner and J. Grönkvist, "A Placement Method for Low-Flying UAVs in High Data Rate Tactical Networks," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 1162-1167, doi: 10.1109/MILCOM61039.2024.10773644.7 | L. Colombi et al., "Efficient Data Dissemination via Semantic Filtering at the Tactical Edge," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 457-462, doi: 10.1109/MILCOM61039.2024.10773700.  | 
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|   | E. De Francesco, R. De Francesco, S. Giarnetti, M. Greco and Fabio Leccese, "Fast Deployment, Marine Environments Early Warning Autonomous System" in Volume 65: Modern Technologies Enabling Innovative Methods for Maritime Monitoring and Strengthening Resilience in Maritime Critical Infrastructures, pp. 177-192, NATO Science for Peace and Security Series - D: Information and Communication Security, 2024. DOI: 10.3233/NICSP240025  | 
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|   | A. Hansson, A. Komulainen, U. Sterner and J. Grönkvist, "A Placement Method for Low-Flying UAVs in High Data Rate Tactical Networks," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 1162-1167, doi: 10.1109/MILCOM61039.2024.10773644.  | 
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|   | J. Liu, J. Albrethsen, L. Goh, D. Yau and K. H. Lim, "Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction," 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/IJCNN60899.2024.10650266.   | 
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|   | T. Möhlenhof and N. Jansen, "Decentralized Cooperative Multi-Agent Deep Reinforcement Learning for Real-Time Optimization of Emulated Ad-Hoc Radio Networks," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 542-547, doi: 10.1109/MILCOM61039.2024.10773944.   | 
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|   | Vitullo DL, Cook T, Jones DE, Scott LM, Toth A, Kirby BT. Simulating quantum key distribution in fiber-based quantum networks. The Journal of Defense Modeling and Simulation. 2023;21(4):463-486. doi:10.1177/15485129231154929  | 
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|   | Mikal R. Willeke, Sean Harding, Kevin Chan, Nathaniel D. Bastian, "Stochastic optimization of inference execution on tactical edge networks," Proc. SPIE 13051, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI, 130510X (7 June 2024); https://doi.org/10.1117/12.3013136 | 
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