the present study was carried out in 2011 to measure concentration of heavy metals chromium and tin in liver and muscle tissue of liza aurata (golden grey mullet) in estuaries of the rivers babolroud, tajan and gorganroud. accordingly, after sampling the target are asandisolating muscle (18samples) and liver (18samples) tissues, they were digested and analyzed using graphite furnace atomic abso...

Being able to forecast time series accurately has been quite a popular subject for researchers both in the past and at present. However, the lack of ability of conventional analysis methods to forecast time series that are not smooth leads the scientists and researchers to resort to various forecasting models that have different mathematical backgrounds, such as artificial neural networks, fuzz...

International incoming grey traffic is currently one of the most important issues for both the Regulator and legal telecommunication operators in Pakistan. The major reason for higher grey traffic in Pakistan is because of international settlement rates which are higher than the cost of domestic termination rate. The grey traffic operators gain financial advantage by offering low international ...

We consider the situation where a nonlinear physical system is identiied from input-output data. In case no speciic physical structural knowledge about the system is available, parameterized grey box models cannot be used. Identiication in black-box-type of model structures is then the only alternative, and general approaches like neural nets, neuro-fuzzy models, etc., have to be applied. Howev...

This paper proposed a new weighted KNN data filling algorithm based on grey correlation analysis (GBWKNN) by researching the nearest neighbor of missing data filling method. It is aimed at that missing data is not sensitive to noise data and combined with grey system theory and the advantage of the K nearest neighbor algorithm. The experimental results on six UCI data sets showed that its filli...

The grey model GM(1,1) based on the grey system theory has recently emerged as a powerful tool for short term load forecasting (STLF) problem. Since GM(1,1) is only first order dynamic grey model, the accuracy is not satisfactory when original data show great randomness. In this paper, we proposed improved dynamic mode GM(2,1) to enhance forecasted accuracy. Then it is applied to improve STLF p...

Energy consumption prediction is an important issue for governments, energy sector investors, and other related corporations. Although there are several prediction techniques, selection of the most appropriate technique is of vital importance. As for the approximate nonhomogeneous exponential data sequence often emerging in the energy system, a novel grey NGM(1,1, k) self-memory coupling predic...

This study relies on knowledge regarding the neuroplasticity of dual-system components that govern addiction and excessive behavior and suggests that alterations in the grey matter volumes, i.e., brain morphology, of specific regions of interest are associated with technology-related addictions. Using voxel based morphometry (VBM) applied to structural Magnetic Resonance Imaging (MRI) scans of ...

Abstract The ocean is rich in Marine minerals and other resources. To make effective use of these resources, it indispensable to have good resource exploration mining equipment, more attention paid ship control methods. A dynamic positioning system can the position head ship. Thrust distribution an important part DP system, its performance will a significant influence on reliability accuracy sy...