Long-term mobile traffic forecasting using deep spatio-temporal neural networks
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 …
becoming increasingly important for precision traffic engineering, demand-aware network …
[PDF][PDF] Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
C Zhang, P Patras - core.ac.uk
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 …
becoming increasingly important for precision traffic engineering, demand-aware network …
[PDF][PDF] Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
C Zhang, P Patras - researchgate.net
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 …
becoming increasingly important for precision traffic engineering, demand-aware network …
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
C Zhang, P Patras - 19th International Symposium on Mobile Ad …, 2018 - research.ed.ac.uk
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 …
becoming increasingly important for precision traffic engineering, demand-aware network …
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
C Zhang, P Patras - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
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 …
becoming increasingly important for precision traffic engineering, demand-aware network …
[PDF][PDF] Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
C Zhang, P Patras - scholar.archive.org
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 …
becoming increasingly important for precision traffic engineering, demand-aware network …
[PDF][PDF] Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
C Zhang, P Patras - pure.ed.ac.uk
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 …
becoming increasingly important for precision traffic engineering, demand-aware network …
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
C Zhang, P Patras - arXiv preprint arXiv:1712.08083, 2017 - arxiv.org
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 …
becoming increasingly important for precision traffic engineering, demand-aware network …
[PDF][PDF] Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
C Zhang, P Patras - homepages.inf.ed.ac.uk
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 …
becoming increasingly important for precision traffic engineering, demand-aware network …
[引用][C] Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
C Zhang, P Patras - Proceedings of the Eighteenth ACM International …, 2018 - cir.nii.ac.jp
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks | CiNii
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Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …