Sensitization to the house dust mite (Dermataphagoides pteronyssinus) (HDM) is the most common risk factor associated with the development of asthma in adults and children. The effectiveness of HDM control measures in the treatment of asthma is not yet proven. The strategies for control for avoidance depend on our understanding of the biology of the HDM. The evidence suggests a favorable effect...

Traffic prediction involves forecasting traffic in terms of Annual Average Daily Traffic (AADT), Design Hour Volumes (DHV) and Directional Design Hour Volumes (DDHV). These forecasts are used for a wide variety of purposes from the planning to the design and operational stages of the highway network. The forecasting needs the historical traffic data as well as the systems characteristics, apart...

Modeling and forecasting realized volatility is of paramount importance. Recent econometric developments allow total volatility to be decomposed into its’ constituent continuous and jump components. While previous studies have examined the role of both components in forecasting, little analysis has been undertaken into how best to harness the jump component. This paper considers how to get the ...

In the fields of actuarial science, health, epidemiology and national planning, mortality data is an important element. Mortality levels reflect the quality of life within quantity. Population forecasting is essential for all long term planning for the provision of services of a nation. Therefore, developing a model for forecasting mortality rate can facilitate a nation to develop their quality...

________________________________________________ AbstractPaper gives the compressed chronological work of scholars and comparison of classical and modern techniques to short term forecast the electrical load. This paper presents 10 approaches of load forecasting, their brief introduction and literature review. KeywordsLoad Forecasting, Classical Approach, Heuristic Approach, Fuzzy Logic, AI, AR...

Kohonen self-organisation maps are a well know classification tool, commonly used in a wide variety of problems, but with limited applications in time series forecasting context. In this paper, we propose a forecasting method specifically designed for multi-dimensional long-term trends prediction, with a double application of the Kohonen algorithm. Practical applications of the method are also ...

1 Introduction This Recommendation is the first in a series of three Recommendations that cover international telecommunications forecasting. In the operation and administration of the international telephone network, proper and successful development depends to a large degree upon estimates for the future. Accordingly, for the planning of equipment and circuit provision and of telephone plant ...