• Mixed-Integer Programming Model for Ranking Universities: Letting Universities Choose the Weights 

    Kudela, Jakub (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21)
    Regardless of the shortcomings and criticisms of world university rankings, these metrics are still widely used by students and parents to select universities and by universities to attract talented students and researchers, ...
  • Three Steps to Improve Jellyfish Search Optimiser 

    Bujok, Petr (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21)
    This paper describes three different mechanisms used in Jellyfish Search (JS) optimiser. At first, an archive of good old solutions is used to prevent getting stuck in the local-optima area. Further, a distribution coefficient ...
  • Employing Texture Features of Chest X-Ray Images and Machine Learning in COVID-19 Detection and Classification 

    Alquran, Hiam; Alsleti, Mohammad; Alsharif, Roaa; Abu Qasmieh, Isam; Alqudah, Ali Mohammad; Binti Harun, Nor Hazlyna (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21)
    The novel coronavirus (nCoV-19) was first detected in December 2019. It had spread worldwide and was declared coronavirus disease (COVID-19) pandemic by March 2020. Patients presented with a wide range of symptoms affecting ...
  • Proposal of a Relational Database (SQL) for Zoological Research of Epigeic Synusion 

    Langraf, Vladimír; Petrovičová, Kornélia; David, Stanislav; Krumpálová, Zuzana; Purkart, Adrián; Schlarmannová, Janka (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21)
    In recent years, developments in the field of molecular biology and genetics have led to the increase in biological information stored in databases. The same increase in the volume of information occurred in the field of ...
  • Comparison of Multiple Reinforcement Learning and Deep Reinforcement Learning Methods for the Task Aimed at Achieving the Goal 

    Parak, Roman; Matousek, Radomil (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21)
    Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL) methods are a promising approach to solving complex tasks in the real world with physical robots. In this paper, we compare several reinforcement  ...
  • Intelligent Malware - Trends and Possibilities 

    Plucar, Jan; Frank, Jiří; Walter, Daniel; Zelinka, Ivan (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21)
    In recent months and years, with more and more computers and computer systems becoming the target of cyberattacks. These attacks are gaining strength and the sophistication of the approach in terms of how to attack. ...
  • 3D Reconstruction Human Body From Anthropometric Measurements Using Diversity Control Oriented Genetic Algorithm 

    Nguyen, Dat Tien; Hoang, Thach Ngoc (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21)
    3D digitalization of the human body has been studied extensively for various applications in anthropology, ergonomics, healthcare, entertainment and fashion industries. There are different methods and approaches to reconstruct ...