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Delay-throughput tradeoff with correlated mobility of ad-hoc networks.

, , , and . INFOCOM, page 2589-2597. IEEE, (2014)

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Social Signal Processing for Real-Time Situational Understanding: A Vision and Approach., , , , , , , and . MASS, page 627-632. IEEE Computer Society, (2015)Optimal Capacity-Delay Tradeoff in MANETs With Correlation of Node Mobility., , , , , , and . IEEE Trans. Vehicular Technology, 66 (2): 1772-1785 (2017)SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework., , , , , , , , , and . IMWUT, 2 (3): 144:1-144:21 (2018)Decision-Driven Execution: A Distributed Resource Management Paradigm for the Age of IoT., , , , , , , , , and 2 other author(s). ICDCS, page 1825-1835. IEEE Computer Society, (2017)Delay-throughput tradeoff with correlated mobility of ad-hoc networks., , , and . INFOCOM, page 2589-2597. IEEE, (2014)Eugene: Towards Deep Intelligence as a Service., , , , , , , , , and 2 other author(s). ICDCS, page 1630-1640. IEEE, (2019)FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices., , , , , , and . SenSys, page 278-291. ACM, (2018)GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service., , , , and . ICAC, page 1-10. IEEE, (2019)Codrive: cooperative driving scheme for vehicles in urban signalized intersections., , , and . ICCPS, page 308-319. IEEE Computer Society / ACM, (2018)ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications., , , , , , , , and . ICDCS, page 334-343. IEEE Computer Society, (2018)