| Current and future applications of machine learning for the US Army M Lee, R Valisetty, A Breuer, K Kirk, B Panneton, S Brown US Army Research Laboratory, Technical report ARL-TR-8345, 2018 | 13 | 2018 |
| A framework to evaluate cyber agility LM Marvel, S Brown, I Neamtiu, R Harang, D Harman, B Henz MILCOM 2015-2015 IEEE Military Communications Conference, 31-36, 2015 | 11 | 2015 |
| Cyber fighter associate: A decision support system for cyber agility C Huber, P McDaniel, SE Brown, L Marvel 2016 Annual Conference on Information Science and Systems (CISS), 198-203, 2016 | 10 | 2016 |
| Toward interdisciplinary perspectives: Using osmotic pressure as an example for analyzing textbook explanations S Sung, J Shen, KF Stanger-Hall, C Wiegert, WI Li, S Brown, T Robertson Journal of College Science Teaching 44 (4), 76-87, 2015 | 9 | 2015 |
| Enabling machine learning on resource-constrained tactical networks J Perazzone, M Dwyer, K Chan, C Anderson, S Brown MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM), 932-937, 2022 | 8 | 2022 |
| Validation of network simulation model and scalability tests using example malware S Brown, H Brown, M Russell, B Henz, M Edwards, F Turner, G Bertoli MILCOM 2016-2016 IEEE Military Communications Conference, 491-496, 2016 | 8 | 2016 |
| Validation of network simulation model with emulation using example malware S Brown, B Henz, H Brown, M Edwards, M Russell, J Mercurio MILCOM 2015-2015 IEEE Military Communications Conference, 1264-1269, 2015 | 6 | 2015 |
| Dynamic visualization of large scale tactical network simulations V Dasari, S Allen, SE Brown 2019 IEEE International Conference on Big Data (Big Data), 3951-3954, 2019 | 2 | 2019 |
| Analysis of High fidelity ns-3 simulations to study real-time application performance in tactical wireless networks V Dasari, D Alexander, S Brown, J Brooks, B Panneton, S Su 2019 IEEE International Conference on Big Data (Big Data), 3955-3959, 2019 | 2 | 2019 |
| Visual computation and simulation of path loss effects on tactical networks in urban canyon V Dasari, SE Brown, DM Alexander, V Perry, S Su 2018 IEEE International Conference on Big Data (Big Data), 3581-3584, 2018 | 2 | 2018 |
| Predictive modeling of run time for model and data distributed inferencing using gradient boosting regression S Brown, D Harman, C Anderson, M Dwyer 2023 IEEE International Conference on Big Data (BigData), 3840-3846, 2023 | 1 | 2023 |
| Characterizing Distributed Inferencing at the Edge in Resource-Constrained Environments S Brown, D Harman, C Anderson, M Dwyer MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 45-50, 2023 | 1 | 2023 |
| Adaptive predictive modeling with online learning: addressing data drift challenges in historical data for distributed inferencing C Anderson, S Brown, D Harman, M Dwyer Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2024 | | 2024 |
| Validation of the finite state machine model for network simulation and a proposed testbed S Brown, H Brown The Journal of Defense Modeling and Simulation 15 (1), 65-77, 2018 | | 2018 |
| Research and Teaching: Toward Interdisciplinary Perspectives--Using Osmotic Pressure as an Example for Analyzing Textbook Explanations. S Sung, J Shen, KF Stanger-Hall, C Wiegert, W Li, S Brown, T Robertson Journal of College Science Teaching 44 (4), n4, 2015 | | 2015 |
| A Communication Protocol for CyAMS and the Cyber Fighter Associate Interface D Harman, S Brown, B Henz, LM Marvel US Army Research Laboratory, 2015 | | 2015 |
