Przemyslaw Wiktor Pardel

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The purpose of this study was to evaluate the usefulness of classification methods in recognizing a cardiovascular pathology. Based on clinical and electrocardiographic (ECG) Holter data we propose a method for predicting a coronary stenosis demanding revascularization in patients with a diagnosis of a stable coronary heart disease. A possible solution of(More)
The paper presents results of our research on application of genetic algorithms to the problem of finding good configurations of traffic signals offsets in a road network (Traffic Signal Setting problem). We tested algorithms on a large road network realistic map of Warsaw acquired from the OpenStreetMap project. The main research tool was the software(More)
We describe a new approach for resolving conflicts for automatic identifying human organs from a medical CT images. The main premise of this approach is the use of classifier created with using two-level classifier and domain knowledge advisers decisions. We test our approach on multiple CT images of chest organs (trachea, lungs, bronchus) and demonstrate(More)
The decision making depends on the perception of the world and the proper identification of objects. The perception can be modified by various factors, such as drugs or diet. The purpose of this research is to study how the disturbing factors can influence the perception. The idea was to introduce the description of the rules of these changes. We propose a(More)
The goal of this paper is to describe the approach for automatic identifying human organs from a medical CT images and discuss results of its comparison to different classification methods. The main premise of this approach is the use of data sets together with the relevant domain knowledge. We test our approach on multiple CT images of chest organs(More)