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Scaling Crowdsourcing with Mobile Workforce: A Case Study with Belgian Postal Service.

, , , , and . IMWUT, 3 (2): 35:1-35:32 (2019)

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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)Energy Efficient Scheduling for Mobile Push Notifications., , , and . EAI Endorsed Trans. Energy Web, 2 (5): e3 (2015)Scaling Crowdsourcing with Mobile Workforce: A Case Study with Belgian Postal Service., , , , and . IMWUT, 3 (2): 35:1-35:32 (2019)An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices., , , , and . IoT-App@SenSys, page 7-12. ACM, (2015)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)eSense: Earable Platform for Human Sensing., , , , , and . MobiSys, page 541. ACM, (2018)Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing?, , , , and . WPA@MobiSys, page 31-36. ACM, (2017)Sensing WiFi network for personal IoT analytics., , , , , and . IOT, page 104-111. IEEE, (2015)