Yazar "Udristioiu, M.T." seçeneğine göre listele

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    Some modern methods related to advanced technologies in teaching STEM specialists
    (American Institute of Physics, 2024) Raykova, Z.; Stoyanova, D.; Raganova, J.; Yildizhan, H.; Udristioiu, M.T.; Yilmaz, E.; Petrisor, I.
    In addition to several societal and individual impacts, the pandemic of COVID-19 has greatly affected educational systems everywhere. The education in those universities that prepare STEM specialists like engineers, physicists, chemists, computer scientists, etc., has faced new requirements and problems. The solutions found are closely linked to new technologies, curricula innovation, and rethinking of the organizational structure of higher education. In this framework, different institutions reacted differently, working in an international environment and exchanging ideas and experiences. In the ERASMUS+ project "Applying some advanced technologies in teaching and research, in relation to air pollution,"faculties from four universities from Romania (Craiova), Bulgaria (Plovdiv), Slovakia (Banská Bystrica) and Turkey (Adana) have tried to draw some positive lessons from the pandemic, on how to improve the quality of teaching in an online or hybrid environment. Some trends successfully applied in students' education will be presented and outlined as the framework of a conceptual educational model with an enhanced presence of modern educational technologies. © 2024 Author(s).
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    Öğe
    Using advanced technologies to process data measured by a PM sensor
    (American Institute of Physics, 2024) Udristioiu, M.T.; Dudáš, A.; Michalíková, A.; Škrinárová, J.; Raganová, J.; Hruška, M.; Pfefferová, M. Spodniaková
    Air pollution represents a significant problem for many cities around the world. Particulate matter pollution affects the population's health and environment. This study aims to use methods of exploratory and predictive data analysis for particulate matter concentrations by applying artificial intelligence techniques to a set of data given by a particulate matter sensor between September 9, 2021, and October 1, 2022. The sensor is placed in Craiova City, Romania, and measures three meteorological parameters (temperature, pressure, relative humidity) and three particulate matter concentrations. This study aims to apply methods like linear and polynomial regression to find correlations between variables. © 2024 Author(s).