Univerzitná knižnica - Vedecké odborné časopisy

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Start date: 2020Subject: search.filters.subject.artificial intelligence

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Now showing 1 - 5 of 5
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    Intelligent warehouse systems
    (University of Žilina, 2024) Biňasová, Vladimíra; Bubeník, Peter; Rakyta, Miroslav; Kasajová, Marta; Zuzik, Ján
    Artificial intelligence can change the overall operation of a business and make work activities more efficient not only in terms of time but also economically. Individual enterprises are increasingly trying to incorporate artificial intelligence into production processes and the need to summarize knowledge about this trend is the main pillar of this paper.
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    Possibilities of using artificial intelligence in logistics
    (University of Žilina, 2024) Biňasová, Vladimíra; Bubeník, Peter; Rakyta, Miroslav; Kasajová, Marta; Zuzik, Ján
    The paper focuses on the topic of the possibilities of using artificial intelligence in logistics. It provides basic information about the given topic, which is presented in the theoretical basis. It describes the definition, history and development and objectives of logistics. It also deals with aspects of Logistics 4.0 and the definition and history of artificial intelligence. The core of the work divides individual options between logistics platforms using artificial intelligence and logistics technologies using artificial intelligence, the principle of operation of which is subsequently described. The conclusion is devoted to the evaluation of the current state of use of artificial intelligence in the logistics industry. It also contains an overview of the advantages and disadvantages of the mentioned possibilities of use.
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    Evaluation of new trends and reasons for attendance artificial intelligence at the operational level
    (University of Žilina, 2023) Biňasová, Vladimíra; Bubeník, Peter; Rakyta, Miroslav; Kasajová, Marta; Štaffenová, Katarína
    The contribution is focused on the analysis of the current state of the introduction of artificial intelligence in enterprises in Slovakia. Here are also the results of a questionnaire survey aimed at finding out what the participating small and medium-sized enterprises mean by the term digitization, whether they use it and consider it important. The questionnaire also investigated whether companies are familiar with the national strategies of Industry 4.0 or how they see the service provision and financing system in this context. The conclusion of the article is devoted to the evaluation of new trends and reasons for the emergence of artificial intelligence.
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    Mobilné modulárne centrum pre riadenie hraníc v krízových situáciách
    (Žilinská univerzita v Žiline, 2022) Košč, Ivan; Odler, Robert; Galba, Juraj; Koščová, Michaela; Gebeová, Klára
    The presented research aims to solve the problematics of the international migration management in the way of a Mobile modular center research and development. The general aim of the proposed Mobile modular center for the crisis management of the international migration is to design an optimal set-up and system arrangement containing a precisely specified series of ecessary workplaces providing a high degree of variability and configurability into the required functional cluster. Concept of the mobile, modular system is based on the sophistically modified standardized units (shipping container type of unit). Depending on the nature of the crise situation (a natural disaster, a major industrial accident, a pandemic, a migration wave, a state of threat, a state of war, etc.), it is possible to build an ideal complex of the workplace modules for management, control and diagnostics of people in the most optimal geographical location in relation to the currently solved crisis.
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    Umelá inteligencia, strojové učenie a trh práce
    (University of Zilina, 2020) Štalmachová, Katarína; Strenitzerová, Mariana
    Machine learning is becoming a key problem-solving in finance, industry or energy sectors. Human resource management is no exception; machine learning in this area allows progress to be made in streamlining functions. The aim of the article is to evaluate the possibilities of using machine learning in human resource management and the impacts of artificial intelligence on the labour market.