Now showing items 21-32 of 32

    • On Horizontal Fuzzy Relations and Hypotheses Testing 

      Takači, Aleksandar; Štajner-Papuga, Ivana; Lozanov-Crvenković, Zagorka; Jočić, Dragan; Grujić, Gabrijela; Došenović, Tatjana (2024)
      Making decisions in conditions of uncertainty is one of today’s everyday problems. Various statistical models have found their place in practical applications, however working with imprecise, quite often fuzzy valued, ...
    • Integration of Standardised Management Systems 

      Michelberger, Pál (2024)
      In economic, political, and natural environments as changing and hazardous as those of our days, far-sighted corporate planning is often impossible. Corporate management has recently been determined, both in Hungary and ...
    • Electric Vehicle Charging Socket Detection using YOLOv8s Model 

      Tadic, Vladimir; Odry, Akos; Vizvari, Zoltan; Kiraly, Zoltan; Felde, Imre; Odry, Peter (2024)
      This paper introduces the utilization of the latest small You Only Look Once version 8 – YOLOv8s convolutional neural network in an automatic electric vehicle charging application study. The employment of a deep ...
    • Prepocessing of Visual and Audio Information Based on a Fuzzy Network 

      Shahbazova, Shahnaz N. (2024)
      In this paper we present the results of a study related to the development of the most effective representation and organization of libraries of visual and sound objects in terms of the absence of any restrictions and ...
    • Knowledge Base Optimization of the HFRIQ- Learning 

      Tompa, Tamás; Kovács, Szilveszter (2024)
      The learning process of conventional reinforcement learning methods, such as Q- learning and SARSA typically start with an empty knowledge base. In each iteration step, the initial empty knowledge base is gradually ...
    • Using Tensor-Type Formalism in Causal Networks 

      Pozna, Claudiu; Precup, Radu-Emil; Ballagi, Aron (2024)
      The causal network is a possible description of complex phenomena, and several domains, for example, Machine Learning, Social Science, and Artificial Intelligence. Although a successful solution is referred to in this ...
    • Modular C++ Library for Relaxed Unscented Kalman-Filtering 

      Kuti, József; Galambos, Péter (2024)
      Filtering and sensor fusion are critical tasks in advanced engineering applica- tions, especially in robotics and autonomous vehicles. It is a general problem that the high accuracy and low computational cost are mutually ...
    • Towards the Development of an Automated Assessment System for the Fundamentals of Laparoscopic Surgery Tests 

      Mohaidat, Mohsen; Fathabadi, Fatemeh Rashidi; Alkhamaiseh, Koloud N.; Grantner, Janos; Shebrain, Saad A; Abdel-Qader, Ikhlas (2024)
      The objective of this paper is to provide an overview of projects carried out in the framework of a research collaboration between the Department of Electrical and Computer Engineering and the Department of Surgery, in ...
    • Strategies and Outcomes of Building a Successful University Research and Innovation Ecosystem 

      Haidegger, Tamás P.; Galambos, Péter; Tar, József K.; Kozlovszky, Miklós; Zrubka, Zsombor; Eigner, György; Drexler, Dániel A.; Szakál, Anikó; Reicher, Viktória; Árendás, Csaba; Tarsoly, Sándor; Garamvölgyi, Tivadar; Rudas, Imre J. (2024)
      Óbuda University (OU) has created a regionally unique innovation ecosystem around the traditional university structure and organization. This includes their 7 faculties, the University Research and Innovation Center ...
    • Exponential and logarithm on semi-Riemannian manifolds of constant curvature 

      Nagy, Péter T. (2024)
      The aim of this work is the unified study of the exponential and logarithm maps on semi-Riemannian manifold of constant curvature in order to prove their analytical prop- erties and find their power series expansions. ...
    • Comparative Assessment of Physical and Machine Learning Models for Wind Power Estimation: A Case Study for Hungary 

      Gerse, Ágnes; Dineva, Adrienn; Fleiner, Rita (2024)
      In the context of the planned mid-term development of wind power plants in Hungary, the authors evaluated the applicability of a physical-based model and several machine-learning models for wind power production estimation ...
    • Convergence of the Nelder-Mead method for con- vex functions 

      Galántai, Aurél (2024)
      We extend several result of Lagarias, Reeds, Wright and Wright [17] for various types of convex functions. The main main convergence theorem of [17] is also generalized to convex functions. We give counterexamples to ...