181 citations · 334 across the 14 of their papers we have counts for
Showing 2019Show all
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eess.SY2019★ 31 cited
CrowdEstimator: Approximating Crowd Sizes with Multi-modal Data for Internet-of-Things Services
Fang-Jing Wu, Gürkan Solmaz
Crowd mobility has been paid attention for the Internet-of-things (IoT) applications. This paper addresses the crowd estimation problem and builds an IoT service to share the crowd…
eess.SP2019★ 67 cited
Toward Understanding Crowd Mobility in Smart Cities through the Internet of Things
Gürkan Solmaz, Fang-Jing Wu, Flavio Cirillo +5
Understanding crowd mobility behaviors would be a key enabler for crowd management in smart cities, benefiting various sectors such as public safety, tourism and transportation. Th…
cs.DC2019★ 3 cited
Fog Function: Serverless Fog Computing for Data Intensive IoT Services
Bin Cheng, Jonathan Fürst, Gurkan Solmaz +1
Fog computing can support IoT services with fast response time and low bandwidth usage by moving computation from the cloud to edge devices. However, existing fog computing framewo…