Igor Ševo

Igor Ševo
University of Banja Luka · School of Electrical Engineering

Master of Engineering

About

13
Publications
4,496
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177
Citations

Publications

Publications (13)
Conference Paper
Full-text available
The utilization of honeybees for automatic explosive detection has been tested during the last few decades. Many biological and technical aspects have been considered, in order to understand all the possibilities for honeybee utilization for explosive detection. The scope of this research is an overview of the honey bees tracking capabilities durin...
Conference Paper
This paper presents a convolutional neural network clustering approach for handwritten digits recognition. Neural networks were trained individually, using the same training set and combined into clusters, depending on the training method used. These clusters formed a layered architecture, where each layer attempted to recognize the given digit, wh...
Conference Paper
Figure detection, separation and image classification are common problems occurring in various fields, especially medicine. Since image databases are usually large, manual classification would be a demanding task. In this paper, we proposed a method for automatic compound figure detection and separation, and gave a comparison between other recognit...
Article
Full-text available
We are witnessing daily acquisition of large amounts of aerial and satellite imagery. Analysis of such large quantities of data can be helpful for many practical applications. In this letter, we present an automatic content-based analysis of aerial imagery in order to detect and mark arbitrary objects or regions in high-resolution images. For that...
Article
Colon cancer is one of the deadliest diseases where early detection can prolong life and can increase the survival rates. The early stage disease is typically associated with polyps and mucosa inflammation. The often used diagnostic tools rely on high quality videos obtained from colonoscopy or capsule endoscope. The state-of-the-art image processi...
Conference Paper
Full-text available
The importance of texture for recognition of objects, scenes and events is well-known and used in various computer vision tasks. Until recently, best-performing texture classification algorithms relied on processing of low-level local features and statistical learning based adjustment of classifiers. Convolutional neural networks introduced higher...
Conference Paper
Full-text available
Analysis of colonoscopy, endoscopy and smart pill videos are often used during the diagnostic procedure, so automatic detection of colon polyps, tumors and internal bleeding can be helpful. Automatic video analysis can ease or improve diagnostic process in cases where physician needs to analyze long-duration videos in order to check if there are si...
Chapter
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We have developed a program for counting self-avoiding Hamiltonian walks to run on multiple processors in a parallel mode. We study Hamiltonian walks (HWs) on the family of two-dimensional modified Sierpinski gasket fractals, as a simple model for compact polymers in nonhomogeneous media in two dimensions. We apply an exact recursive method which a...
Article
Full-text available
We have developed a program for counting self-avoiding Hamiltonian walks to run on multiple processors in a parallel mode. We study Hamiltonian walks (HWs) on the family of two-dimensional modified Sierpinski gasket fractals, as a simple model for compact polymers in nonhomogeneous media in two dimensions. We apply an exact recursive method which a...
Article
Full-text available
I propose the idea of using graphs (graph theory) for modeling, analysis and solving problems from probability theory. Here, algorithms are proposed which allow finding the most probable sequences of events in a given set of events. Also, an idea of modeling probability problems with graphs is proposed.

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