Background: The lack of objective methodologies and open datasets for the evaluation of the algorithms complicates the objective evaluation by specialists and hinders the widespread use of this technology in health care. The purpose of this study was to estimate the accuracy of the Skinive’s...

The problem of oil displacement was solved using neural networks and machine learning classifiers. The Buckley-Leverett model is selected, which describes the process of oil displacement by water. It consists of the equation of continuity of oil, water phases and Darcy’s law. The challenge is...

Abstract: Soil moisture is an important parameter affecting environmental processes, such as hydrology, ecology and climate. However, due to the influence of soil type, soil structural conditions, topographic features, vegetation environment and human activities, the distribution of soil water...

A growing number of emerging studies have been undertaken to examine the mediating dynamics between intelligent agents, activities, and cost within allocated budgets to predict the outcomes of complex projects in dint of their significant uncertain nature in achieving a successful outcome....

The statistical models are applied in the social sciences is to understand and explain various phenomena occurring in the world around us. In order to be scientifically valid, reasonable and actionable, the building of such models should be inherited from the theory. To accomplish this, there is...

Reliable and accurate day-ahead forecasting of natural gas consumption is vital for the operation of the Energy sector. Three different forecasting models are developed in this paper: The sigmoid function regression model, the feed-forward neural network, and the recurrent neural network model....

In recent years, bioeconomy strategies have been implemented and adapted internationally. In the bioeconomy, materials are to a certain extent circular by nature. However, biomaterials may also be used in a rather linear way. Lately, a transition towards a circular economy, a more restorative...