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DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware.

, , , , , and . MobiSys, page 68-81. ACM, (2017)

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Capturing Personal and Crowd Behavior with Wi-Fi Analytics., , , , , , and . WPA@MobiSys, page 43-48. ACM, (2016)On-Wearable AI to Model Human Interruptibility., , , and . MobiSys, page 520. ACM, (2018)Exploring space syntax on entrepreneurial opportunities with Wi-Fi analytics., , , , , , and . UbiComp, page 658-669. ACM, (2016)Squeezing Deep Learning into Mobile and Embedded Devices., , , , , and . IEEE Pervasive Comput., 16 (3): 82-88 (2017)DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit., , , , and . MobiCASE, page 98-107. ACM / ICST, (2016)Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing?, , , , and . WPA@MobiSys, page 31-36. ACM, (2017)eSense: Earable Platform for Human Sensing., , , , , and . MobiSys, page 541. ACM, (2018)Dynamic Scaling of Call-Stateful SIP Services in the Cloud., , , and . Networking (1), volume 7289 of Lecture Notes in Computer Science, page 175-189. Springer, (2012)An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices., , , , and . IoT-App@SenSys, page 7-12. ACM, (2015)Energy Efficient Scheduling for Mobile Push Notifications., , , and . EAI Endorsed Trans. Energy Web, 2 (5): e3 (2015)