9 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.NI2017★ 9 cited
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
Chaoyun Zhang, Paul Patras
Forecasting with high accuracy the volume of data traffic that mobile users will consume is becoming increasingly important for precision traffic engineering, demand-aware network…
cs.NI2017★ 7 cited
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
Chaoyun Zhang, Xi Ouyang, Paul Patras
Large-scale mobile traffic analytics is becoming essential to digital infrastructure provisioning, public transportation, events planning, and other domains. Monitoring city-wide m…
cs.CR2017
Breaking Fitness Records without Moving: Reverse Engineering and Spoofing Fitbit
Hossein Fereidooni, Jiska Classen, Tom Spink +5
Tens of millions of wearable fitness trackers are shipped yearly to consumers who routinely collect information about their exercising patterns. Smartphones push this health-relate…