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 …

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 …

Network traffic prediction plays a significant role in network management. Previous network
traffic prediction methods mainly focus on the temporal relationship between network traffic …

This study analyzes the stock returns and volatility of the global water industry in different
(full, pre-GFC, GFC and post-GFC) periods. The study estimates ARMA (1, 1)-GARCH (1, 1) …

Accurate real-time forecasting of key performance indicators (KPIs) is an essential
requirement for various LTE/5G radio access network (RAN) automation. However, an …

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 …

Existing traffic prediction methods are based on previously collected traffic patterns, and the
measured data are used to train and create a model to predict future traffic patterns …

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 …

Nowadays, multivariate time series data is increasingly collected in many large-scale
application systems, which often has periodic, repetitive patterns that can be affected by …

Bus is the most basic trip mode in public transport system. Precise bus trip generation
forecast indicates the short-term number of passengers in each bus station, providing …