short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . these results made the hybrid tools and approaches a more common method for ...

Air pollution is a severe environmental problem in urban areas. Accurate air quality prediction can help governments and individuals make proper decisions to cope with potential pollution. As classic time series forecasting model, the AutoRegressive Integrated Moving Average (ARIMA) has been widely adopted prediction. However, because of volatility lack additional context information, i.e., spa...

This paper uses Markov-switching specifications to create a hybrid model with time-varying loading on each of chartist and fundamentalist approaches. The empirical data include the U.S. dollar exchange rates of four Asian tiger countries’ currencies including NTD, SGD, HKD and KOW from 1980 to 2000. Our empirical findings are consistent with the following notions. First, the forecasting perform...

We build a spatial individual-based multilocus model of homoploid hybrid speciation tailored for a tentative case of hybrid origin of Heliconius heurippa from H. melpomene and H. cydno in South America. Our model attempts to account for empirical patterns and data on genetic incompatibility, mating preferences and selection by predation (both based on coloration patterns), habitat preference, a...

  In recent years, various time series models have been proposed for financial markets forecasting. In each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. Many researchers have compared different time series models together in order to determine more efficien...

The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper presents two hybrid approaches for modeling IDS. Decision trees (DT) and support vector machines (SVM) are combined as a hierarchical hybrid intelligent system model (DT–SVM) and an ensemble approach combining the base ...

Hysteresis has been widely recognized in the soil water relationship. In this paper, a detailed review of hysteresis was performed in relation to its models. So far, different models have been suggested to describe hysteresis in the water retention curve (WRC) that could be categorized into two main groups: conceptual and empirical models. The models in the first group are based on the domain t...

background and aim: approaches to professional health care have changed along with changes in health measures and progression of chronic diseases. patient participation is an international golden standard in new nursing paradigm. despite the importance of patient participation and its routine usage in professional care, this concept is not clear, especially in social and cultural context of ira...

a bstra ct     background: patients’ compliance to treatment is an important indicator for evaluating the successful management in chronic illnesses. despite the fact an applicable definition of compliance is required to suitable intervention and research, this concept is not clear and there is no consensus concerning its meaning, definition, and measurement. the aim of this study was to explor...

in recent years, various time series models have been proposed for financial markets forecasting. in each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. many researchers have compared different time series models together in order to determine more efficient ...