Eva Volna

Eva Volna is an associate professor at the Department of Computer Science at University of Ostrava, Czech Republic. Her interests include artificial intelligence, artificial neural networks, evolutionary algorithms, and cognitive science. She is an author of more than 50 papers in technical journals and proceedings of conferences.

Publications

Recognition of Patterns With Fractal Structure in Time Series
Eva Volna, Martin Kotyrba. © 2018. 26 pages.
The chapter is focused on an analysis and pattern recognition in time series, which are fractal in nature. Our goal is to find and recognize important Elliott wave patterns which...
Pattern Recognition and Classification in Time Series Data
Eva Volna, Martin Kotyrba, Michal Janosek. © 2017. 282 pages.
Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue...
Recognition of Patterns with Fractal Structure in Time Series
Eva Volna, Martin Kotyrba. © 2017. 31 pages.
The chapter is focused on an analysis and pattern recognition in time series, which are fractal in nature. Our goal is to find and recognize important Elliott wave patterns which...
Backpropagation Neural Networks and Their Applications
Eva Volna. © 2016. 1 hr 36 mins.
A neural network is defined as a large-scale parallel distributed processor composed of a number of individual processing units which mirror the natural brain processes of...
Soft Computing-Based Information Security
Eva Volna, Tomas Sochor, Clyde Meli, Zuzana Kominkova Oplatkova. © 2014. 32 pages.
This chapter deals with using soft computing methods in information security. It is engaged in two big areas: (1) information security and spam detection and (2) cryptography....