Boris Stoyanov

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AVARES is a Leonardo da Vinci Transfer of Innovation Project aiming to develop a Virtual Reality environment, to create innovative Virtual Reality learning methodologies and integrate them with traditional learning for teaching more efficiently the challenging field of Renewal Energy Sources (RES). The project aims to establish 3D virtual learning(More)
This study explores the predictive abilities of the cascade-correlation neural networks as a tool for breast cancer diagnosis. The dataset used for training and testing contains a combination of mammographic, sonographic, and other descriptors, which is novel for the field. We applied feature selection techniques to find an optimal set of descriptors that(More)
AVARES Project, which runs under Leonardo Da Vinci Lifelong Learning Program, aims to to develop a Virtual Reality environment, create innovative Virtual Reality learning methodologies and integrate them with traditional learning for teaching more efficiently the challenging field of Renewal Energy Sources (RES). RES domain is considered by many tutors to(More)
The article describes the methodology and practical implementation of Cash Flow at Risk (CFaR) calculation with the help of a multidimensional Monte Carlo simulation. CFar is one of the most important characteristics of liquidity. It assesses the likelihood that operating cash flows will drop below a prespecified level. In this paper is considered(More)
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