Short-term traffic flow prediction is a core branch of intelligent traffic systems (ITS) and plays
an important role in traffic management. The graph convolution network (GCN) is widely …

Big client data and deep learning bring a new level of accuracy to wireless traffic prediction
in non-adversarial environments. However, in a malicious client environment, the training …

Long-Term Evolution (LTE) cellular networks have transformed the mobile business, as
users increasingly require various network services such as video streaming, online gaming …

The coming era of widespread integration of Internet of Things (IoT) devices to all areas of
society has facilitated a fundamental transformation of local and global communication …

GDP is frequently used as a way of national evaluations, as well as a way of measuring
economic progress. This paper analyses a combination of time series models that are both …

5G communication systems are one of the major enabling technologies to meet the needs of
Industry 4.0. This paper focuses on the use case of automated guided vehicles (AGVs) in an …

In today's data-driven world, time series forecasting is an intensively investigated temporal
data mining technique. In practice, there is a range of forecasting techniques that have been …

With the widespread use of mobile devices in recent years, accurate prediction of base
station traffic is vital for maintaining a good quality of mobile network services. In this paper …

Currently, traffic trends to grow explosively under the scenarios of advanced wireless
communication networks and diversified services. How to design suitable model to …

ICT systems provide detailed information on computer network traffic. However, due to
storage limitations, some of the information on past traffic is often only retained in an …