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Dynamic Learning Framework for Smooth-Aided Machine-Learning-Based Backbone Traffic Forecasts
Recently, there has been an increasing need for new applications and services such as big data, blockchains, vehicle-to-everything (V2X), the Internet of things, 5G, and beyond. Therefore, to maintain quality of service (QoS), accurate network resource planning and forecasting are essential steps fo...
| 主要な著者: | , , , , , , , |
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| フォーマット: | Online 論文 テキスト |
| 言語: | English |
| 出版事項: |
MDPI
2022
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| 主題: | |
| オンライン･アクセス: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103727/ https://www.ncbi.nlm.nih.gov/pubmed/35591282 http://dx.doi.org/10.3390/s22093592 |