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Wide-area control of power systems using cloud-in-the-loop feedback.

, , and . GlobalSIP, page 831-835. IEEE, (2016)

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Identification and Predictive Analysis of a Multi-Area WECC Power System Model Using Synchrophasors., , , , , and . IEEE Trans. Smart Grid, 8 (4): 1977-1986 (2017)A multi-user network testbed for wide-area monitoring and control of power systems using distributed synchrophasors., , and . e-Energy, page 291-292. ACM, (2013)Wide-area control of power systems using cloud-in-the-loop feedback., , and . GlobalSIP, page 831-835. IEEE, (2016)A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts., , , , , , , , , and 26 other author(s). J. Am. Medical Informatics Assoc., 24 (1): 145-152 (2017)The MIT Supercloud Workload Classification Challenge., , , , , , , , , and 17 other author(s). CoRR, (2022)The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes., , , , and . CoRR, (2021)Developing a Series of AI Challenges for the United States Department of the Air Force., , , , , , , , , and 32 other author(s). CoRR, (2022)AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications., , , , , , , , , and 20 other author(s). HPCA, page 1224-1237. IEEE, (2022)The MIT Supercloud Workload Classification Challenge., , , , , , , , , and 19 other author(s). IPDPS Workshops, page 708-714. IEEE, (2022)Attitudes of pediatric intensive care unit physicians towards the use of cognitive aids: a qualitative study., , , and . BMC Medical Informatics Decis. Mak., (2016)