Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Federated learning-empowered mobile network management for 5G and beyond networks: From access to core
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
An overview of terahertz antennas
The terahertz (THz) antennas, which have features of small size, wide frequency bandwidth
and high data rate, are important devices for transmitting and receiving THz electromagnetic …
and high data rate, are important devices for transmitting and receiving THz electromagnetic …
Deep transfer learning for intelligent cellular traffic prediction based on cross-domain big data
Machine (deep) learning-enabled accurate traffic modeling and prediction is an
indispensable part for future big data-driven intelligent cellular networks, since it can help …
indispensable part for future big data-driven intelligent cellular networks, since it can help …
Forecasting network traffic: A survey and tutorial with open-source comparative evaluation
This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …
as a tutorial to the topic. We examine works based on autoregressive moving average …
Dual attention-based federated learning for wireless traffic prediction
Wireless traffic prediction is essential for cellular networks to realize intelligent network
operations, such as load-aware resource management and predictive control. Existing …
operations, such as load-aware resource management and predictive control. Existing …
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 …
Artificial intelligence for satellite communication: A review
Satellite communication offers the prospect of service continuity over uncovered and under-
covered areas, service ubiquity, and service scalability. However, several challenges must …
covered areas, service ubiquity, and service scalability. However, several challenges must …
Big data driven marine environment information forecasting: a time series prediction network
The continuous development of industry big data technology requires better computing
methods to discover the data value. Information forecast, as an important part of data mining …
methods to discover the data value. Information forecast, as an important part of data mining …
DeepCog: Cognitive network management in sliced 5G networks with deep learning
Network slicing is a new paradigm for future 5G networks where the network infrastructure is
divided into slices devoted to different services and customized to their needs. With this …
divided into slices devoted to different services and customized to their needs. With this …