Traffic prediction of wireless networks attracted many researchers and practitioners during
the past decades. However, wireless traffic frequently exhibits strong nonlinearities and …

Network traffic analysis and predictions have become vital for monitoring networks. Network
prediction is the process of capturing network traffic and examining it deeply to decide what …

Abstract Massively Multiplayer Online Games (MMOGs) applications are a class of
computationally intensive client-server multi-tier applications with real-time quality of service …

In this study, a new hybrid forecasting method is proposed. The proposed method is called
autoregressive adaptive network fuzzy inference system (AR–ANFIS). AR–ANFIS can be …

In the structure of fuzzy inference systems, the decision-making process is based on certain
rules called “if-then”. It is highly difficult to determine these rules. The fuzzy regression …

Forecasting the future values of a time series is a common research topic and is studied
using probabilistic and non-probabilistic methods. For probabilistic methods, the …

The work in this paper is based on an industrial debutanizer column in a petroleum refinery
located in Malaysia, which produces LPG (liquefied petroleum gas) as the top stream and …

Network traffic modeling significantly affects various considerations in networking, including
network resource allocation, quality of service provisioning, network traffic management …

The network traffic forecasting is of significant interest in many domains such as bandwidth
allocation, congestion control and network management. Hence, forecasting of network …

Background This study aims to predict the trend of procurement and storage of various blood
products, as well as planning and monitoring the consumption of blood products in different …