Browsing Vol. 27, No. 2 by Title

Now showing items 1-13 of 13

  • Advances in Evolutionary Optimization of Quantum Operators 

    Žufan, Petr; Bidlo, Michal (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    A comparative study is presented regarding the evolutionary design of quantum operators in the form of unitary matrices.A comparative study is presented regarding the evolutionary design of quantum operators in the form ...

  • CCGraMi: An Effective Method for Mining Frequent Subgraphs in a Single Large Graph 

    Nguyen, Lam B. Q.; Zelinka, Ivan; Diep, Quoc Bao (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    In modern applications, large graphs are usually applied in the simulation and analysis of large complex systems such as social networks, computer networks, maps, traffic networks. Therefore, graph mining is also an ...

  • Computer Estimation of JRC Index Using Function Moments 

    Martisek, Dalibor (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    The paper deals with a shape of geological discontinuities. This shape significantly affects the stability of rock massifs. The joint roughness coefficient (JRC) is one of the main shape indicators but the methods of its ...

  • Deep Learning and the Game of Checkers 

    Popic, Jan; Boskovic, Borko; Brest, Janez (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    In this paper we present an approach which given only a set of rules is able to learn to play the game of Checkers. We utilize neural networks and reinforced learning combined with Monte Carlo Tree Search and alpha-beta ...

  • Hybrid Deep Learning Model for Singing Voice Separation 

    Amer, Rusul; Al Tmeme, Ahmed (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    Monaural source separation is a challenging issue due to the fact that there is only a single channel available; however, there is an unlimited range of possible solutions. In this paper, a monaural source separation model ...

  • Hybrid Formation Control for Multi-Robot Hunters Based on Multi-Agent Deep Deterministic Policy Gradient 

    Hamed, Oussama; Hamlich, Mohamed (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    The cooperation between mobile robots is one of the most important topics of interest to researchers, especially in the many areas in which it can be applied. Hunting a moving target with random behavior is an application ...

  • Improving Breast Cancer Classification using (SMOTE) Technique and Pectoral Muscle Removal in Mammographic Images 

    Abdulla, Srwa Hasan; Sagheer, Ali Makki; Veisi, Hadi (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    Computer-aided diagnosis methods are being developed to assist radiologists to improve the interpretation of mammograms for the detection and diagnose of breast cancer, reduce the errors and mistakes made by human beings. ...

  • Neuro-Evolution of Continuous-Time Dynamic Process Controllers 

    Sekaj, Ivan; Kénický, Ivan; Zúbek, Filip (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    Artificial neural networks are means which are, among several other approaches, effectively usable for modelling and control of non-linear dynamic systems. In case of modelling systems input and output signals are a-priori ...

  • Relation of Neighborhood Size and Diversity Loss Rate in Particle Swarm Optimization With Ring Topology 

    Pluháček, Michal; Kazikova, Anezka; Kadavy, Tomas; Viktorin, Adam; Senkerik, Roman (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    Measuring the population diversity in metaheuristics has become a common practice for adaptive approaches, aiming mainly to address the issue of premature convergence. Understanding the processes leading to a diversity ...

  • Robotic Automation of Software Testing From a Machine Learning Viewpoint 

    Yadav, Vinod; Botchway, Raphael Kwaku; Senkerik, Roman; Kominkova Oplatkova, Zuzana (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    The need to scale software test automation while managing the test automation process within a reasonable time frame remains a crucial challenge for software development teams (DevOps). Unlike hardware, the software cannot ...

  • Significant Curves of the Mandelbrot Set 

    Martisek, Dalibor (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    The paper provides a description of some interesant curves contained in the Mandelbrot set. These curves are the boundaries of the areas called „bulbs“ which are described approximately only in present. In this paper, some ...

  • A Streamlined Attention Mechanism for Image Classification and Fine-Grained Visual Recognition 

    Himabindu, Dakshayani D; Kumar, Praveen S (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    In the recent advancements attention mechanism in deep learning had played a vital role in proving better results in tasks under computer vision. There exists multiple kinds of works under attention mechanism which includes ...

  • A Systematic Review and Analysis on Deep Learning Techniques Used in Diagnosis of Various Categories of Lung Diseases 

    Jasthy, Sreedevi; Vangipuram, Radhakrishna; Dutta, Sushama Rani (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    One of the record killers in the world is lung disease. Lung disease denotes to many disorders affecting the lungs. These diseases can be identified through Chest X- Ray, Computed Tomography CT, Ultrasound tests. This study ...