Посмотр Vol. 26, No. 2 по дате публикации

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  • Cardiac Arrhythmia Prediction by Adaptive Analysis via Bluetooth 

    Rodrguez-Jorge, Ricardo; Bila, Jiri (Institute of Automation and Computer Science, Brno University of Technology, 2020-12-21)
    In this work, the development of a data acquisition system for adaptive monitoring based on a dynamic quadratic neural unit is presented. Acquisition of the continuous signal is achieved with the BITalino biomedical data ...

  • Towards Reducing the Impact of Localisation Errors on the Behaviour of a Swarm of Autonomous Underwater Vehicles 

    El-Mihoub, Tarek; Tholen, Christoph; Nolle, Lars (Institute of Automation and Computer Science, Brno University of Technology, 2020-12-21)
    Localisation errors have a great impact on Autonomous Underwater Vehicles (AUVs) as search agents. Different approaches for solving the localisation problem can be used and combined together for greater accuracy in estimating ...

  • Dog Face Detection Using YOLO Network 

    Tureckova, Alzbeta; Holik, Tomas; Kominkova Oplatkova, Zuzana (Institute of Automation and Computer Science, Brno University of Technology, 2020-12-21)
    This work presents the real-world application of the object detection which belongs to one of the current research lines in computer vision. Researchers are commonly focused on human face detection. Compared to that, the ...

  • Why Tuning the Control Parameters of Metaheuristic Algorithms Is So Important for Fair Comparison? 

    Kazikova, Anezka; Pluhacek, Michal; Senkerik, Roman (Institute of Automation and Computer Science, Brno University of Technology, 2020-12-21)
    Although metaheuristic optimization has become a common practice, new bio-inspired algorithms often suffer from a priori ill reputation. One of the reasons is a common bad practice in metaheuristic proposals. It is essential ...

  • Phase Transition as an Emergent Phenomenon Analysed by Violation of Structural Invariant (M, BM) 

    Bila, Jiri; Reshak, Ali H; Chysky, Jan (Institute of Automation and Computer Science, Brno University of Technology, 2020-12-21)
    When modeling complex systems, we usually encounter the following difficulties: partiality, large amounts of data and uncertainty of conclusions. The most common approach used for modeling is the physical approach, sometimes ...

  • The Classification of Documents in Malay and Indonesian Using the Naive Bayesian Method Uses Words and Phrases as a Training Set 

    Wijaya, Marvin Chandra (Institute of Automation and Computer Science, Brno University of Technology, 2020-12-21)
    Malay Language and Indonesian Language are two closely related languages, sharing a lot in common in the meanings of words and grammar. Classifying the two languages automatically using a tool is a challenge because the ...

  • Assessing Factors Affecting Intention to Adopt AI and ML: The Case of the Jordanian Retail Industry 

    Alghamdi, Mohammed I. (Institute of Automation and Computer Science, Brno University of Technology, 2020-12-21)
    Aim: The aim of this research is to evaluate the factors that affect the adoption intention of AI and ML in the context of Jordan’s retail industry. Method: For this research paper, primary data was collected with the help ...