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Corrado, N., Livesay, M., Johnson, J., & Levin, D. (2021). Hybrid Deep Reinforcement Learning For Online Distribution Power System Optimization and Control [Conference Presentation]. 10.2172/1883503

Galasso, J., Forrest, R., & Prasadan, A. (2021). Machine Learning with Synthetic Data: What Approaches are Most Effective? [Conference Presentation]. 10.2172/1884145

Ray, J., Barone, M.F., & Domino, S.P. (2021). Assembling training datasets for generalizable machine-learned turbulence models [Conference Presentation]. 10.2172/1889553

Westphal, E.R., Kastengren, A., Hoffmeister, K.N.G., & Winters, C. (2021). Thermographic Sensitivity of Lanthanide-doped Phosphors under X-ray Excited Optical Luminescence [Conference Poster]. 10.2172/1884133

Tarman, T.D., Swiler, L.P., Cruz, G.J., Vugrin, E., Rollins, T., Huang, H., Sahu, A., Wlazlo, P., Goulart, A., & Davis, K. (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds [Conference Proceeding]. 10.1145/3474718.3474725

Nanco, A. (2021). Sandia?s Defense Energy Research, Development, Test & Evaluation Capabilities & Projects [Conference Presentation]. 10.2172/1882076

Bailey, T., Levin, D., & Johnson, J. (2021). Discrete Deep Reinforcement Learning For Online Distribution Power System Cybersecurity Protection [Conference Presentation]. 10.2172/1884181

Foulk, J.W., Looker, Q.M., Bailly-Grandvaux, M., Smith, H., Richmond, G., McCrary, E., Oberla, E., Stahoviak, J.W., Chandler, G.A., Pang, R., Mostafanezhad, I., Ditmire, T., Beg, F.N., & Porter, J.L. (2021). A novel neutron time-of-flight spectrometer based on multi-element silicon photomultipliers [Presentation]. https://www.osti.gov/biblio/1884073

Results 11351–11375 of 99,299
Results 11351–11375 of 99,299