In the recent years machine learning algorithms have developed further and various applications are taking advantage of this advancement. Modern is now used in district heating for more precise realistic heat demand prediction. Machine methods like Artificial Neural Network (ANN), Linear Regression (LR), Decision Tree (DT) commonly adopted prediction to produce accurate results. This research p...

In this research, the demand function of drinkable  water in Qazvin Province was estimated using dynamic and static methods. The required data were collected from the data of the provinces of Qazvin in the time period (1996-2016) and collected by referring to the statistical system of Statistics Center of Iran and the provincial planning and budget organization of Qazvin Province. The explanato...

One of the issues helping make investment decisions is appropriate tools and models to evaluate financial situation 0f the organization.  By means of these tools, investors can analyze financial situation of the organization and identify financial distress or an ideal condition, they become aware of making decisions to invest in appropriate conditions.  The main objective of this study is to ev...

alizing large 3D data sets from scientific or medical applications. Transfer functions are particularly important to the quality of direct volume-rendered images. A transfer function assigns optical properties, such as color and opacity, to original values of the data set being visualized. Unfortunately, finding good transfer functions proves difficult. Pat Hanrahan called it one of the top 10 ...