Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …

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 …

Network traffic forecasting provides key information for network management, resource
allocation, traffic attack detection. However, traditional linear and non-linear network traffic …

The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

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 …

Accurate and timely mapping of crop types and having reliable information about the
cultivation pattern/area play a key role in various applications, including food security and …

This paper proposes a deep learning approach to a class of active sensing problems in
wireless communications in which an agent sequentially interacts with an environment over …

Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great
promise in various disciplines such as image classification and segmentation, speech …

As a typical Internet of Things application, network traffic prediction (NTP) plays a decisive
role in congestion control, resource allocation, and anomaly detection. The trend of network …

With the rapid development of telecommunication networks, the predictability of network
traffic is of significant interest in network analysis and optimization, bandwidth allocation …