SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction
2 references·0 citing·12 second hopsampled
FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction (2022)FedSTN: Graph Representation Driven Feder…A survey on deep learning for big data (2017)A survey on deep learning for…Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow (2007)Adaptive Seasonal Time Series…Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Introduction to Time Series and Forecasting (2002)Short-term traffic forecasting: Where we are and where we’re going (2014)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (2019)Online Learning and Online Convex Optimization (2012)Data mining with big data (2013)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)A survey of data fusion in smart city applications (2019)Emotion recognition with convolutional neural network and EEG-based EFDMs (2020)Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions (2020)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2017A survey on deep learning for big data1,239 cited
  • 2007Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow207 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work