abstract pedotransfer functions (ptfs) are useful means of prediction many properties of the soil, and especially the hydraulic characteristics of this porous media. the main advantages of this functions, as compare to conventional methods used to directly estimate soil hydraulic properties, is that they are not time-cost consuming. different approaches such as classic linear and non linear reg...

Graph Neural Networks (GNNs) belong to a class of deep learning methods that are specialized for extracting critical information and making accurate predictions on graph representations. Researchers have been striving adapt neural networks process data over decade. GNNs found practical applications in various fields, including physics simulations, object detection, recommendation systems. Predi...

In the majority of modern systems of sensor signals processing the measurement error of output sensor signal is normalized, instead of physical quantity. For example, at temperature measurement by sensor Honeywell Pt100 [1] and by unit Hydra 2625А Fluke [2] the errors ratio of the measuring channel elements is more than fifty. The majority of works on sensor signal processing [3, 4, 5] consider...

Artificial neural networks are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the efficiency of a neural network for predicting the survival of patients with acute pancreatitis is compared with days-of-survival obtained from patients. A three- layer back-propagation neural network was developed for this purpose. Clinical data (e.g...

The prediction of the ultimate bearing capacity of the pile under axial load is one of the important issues for many researches in the field of geotechnical engineering. In recent years, the use of computational intelligence techniques such as different methods of artificial neural network has been developed in terms of physical and numerical modeling aspects. In this study, a database of 100 p...

Neural networks have been applied successfully to a broad range of fields such as finance, data mining, medicine, engineering, geology, physics and biology. In finance, neural networks have been used for stock market prediction, credit rating, bankruptcy prediction and economic indicator forecasts. In medicine, neural networks have been used extensively in medical diagnosis, detection and evalu...

Although CO2 injection is one of the most common methods in enhanced oil recovery, it could alter fluid properties of oil and cause some problems such as asphaltene precipitation. The maximum amount of asphaltene precipitation occurs near the fluid pressure and concentration saturation. According to the description of asphaltene deposition onset, the bubble point pressure has a very special imp...