In recent decades, the development of wireless technologies incurs explosive mobile traffic
growth. To address the rapidly growing traffic demand, operators deploy more base stations …

The tremendous growth rate of global internet traffic in past years increases the importance
of traffic prediction for network operators to ensure seamless Quality of Service (QoS) with …

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 …

The aim of the thesis is to show whether a combination of predictions from different types of
models can improve predictive capabilities compared to models taken separately. Three …

Forecasting of network traffic plays a very important role in many domains such as
congestion control, adaptive applications, network management and traffic engineering …

ABSTRACT 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 …

This paper aims to forecast the closing prices of the Shanghai and Shenzhen 300 Index
using time series models. By combining the ARIMA and GARCH models, the study aims to …

Many large networked systems ranging from the Internet to ones deployed atop the Internet
(eg, Amazon) play critical roles in our daily lives. In these systems, individual nodes (eg, a …

Masalah yang terlihat dalam penelitian ini adalah bagaimana peran guru dalam
pembelajaran seni budaya secara daring di SMP Negeri 11 Bandar Lampung. Penelitian ini …

Penelitian ini memiliki tujuan untuk menganalisis daya saing kunyit Indonesia di pasar
internasional dan prospek ekspor kunyit Indonesia di pasar internasional. Penelitian ini …