Now showing items 1-11 of 11

    • Cognitive Dissonance on Sustainable Mobility 

      Sipos, Tibor (2023)
      This article aims to define sustainable mobility, particularly, reference travel time recognition and its economic and cognitive impact with a particular focus on info- communication. The paper focuses on the social ...
    • The Cognitive Motivation-based APBMR Algorithm in Physical Rehabilitation 

      Guzsvinecz, Tibor; Szucs, Veronika; Magyar, Attila (2023)
      This article presents a new, alternative method of gesture recognition, using the cognitive properties of intelligent decision-making systems, to support the rehabilitation process of people with disabilities: the ...
    • Preface 

      Baranyi, Péter (2023)
    • The Effect of Engineering Education, on Spatial Ability, in Virtual Environments 

      Guzsvinecz, Tibor; Orbán-Mihálykó, Éva; Perge, Erika; Sik-Lányi, Cecília (2023)
      Since spatial skills are important in the modern world, tests that can improve them are included in the curriculum of engineering studies. In this article, the results of a pre-test and a post-test are presented, which ...
    • Vehicle Automation Impact on Traffic Flow and Stability: A Review of Literature 

      Mohammed, Dilshad; Horváth, Balázs (2023)
      Vehicle automation technologies open new avenues for improving present transportation networks. It is predicted that Autonomous vehicles (AVs) and Connected Vehicles (CVs) will improve the traffic flow though increasing ...
    • Sentiment Analysis with Neural Models for Hungarian 

      Laki, László János; Zijian, Győző Yang (2023)
      Sentiment analysis is a powerful tool to gain insight into the emotional polarity of opinionated texts. Computerized applications can contribute to the establishment of next- generation models that can provide us with ...
    • Training Experimental Language Models with Low Resources, for the Hungarian Language 

      Yang, Zijian Győző; Váradi, Tamás (2023)
      In recent years, natural language processing tasks, like sentiment analysis, can be solved with high performance techniques, if a pre-trained language model is fine-tuned. However, in most cases, the pre-training of ...
    • Monitoring Pandemics, using Sensor Data from Smart Ecosystems 

      Péntek, István; Adamkó, Attila (2023)
      In recent decades, new solutions, shaping smart city architecture. Data generated by healthcare and smart devices infiltrate into smart city solutions. This topic is heavily challenging and rapidly evolving. The constant ...
    • Cognitive Information Systems and Related Architecture Issues 

      Mattyasovszky-Philipp, Dóra; Molnár, Bálint (2023)
      The rapid developments in information technology and business, must drive the progress of Cognitive Information Systems (CIS). There are some studies on the generic model of CIS analysis and design. The work herein, seeks ...
    • Modelling, Simulation and Validation of Hybrid Vehicle Fuel Consumption 

      Zsombok, Imre; Zöldy, Máté (2023)
      Controlling, influencing and managing the fuel/energy consumption and refill frequency of hybrid vehicles will be essential in the coming decades of increasing vehicle autonomy and not have depleted or low battery vehicles, ...
    • Sentiment Analysis of Souls-like Role-Playing Video Game Reviews 

      Guzsvinecz, Tibor (2023)
      The emotions and experiences of players are complex as they can vary due to many factors, such as the difficulty of a video game. However, after finishing video games, most players write reviews of them in which their ...