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Pręgowska A., Konowrocki R., Szolc T., Analysis of rotating systems using actuators with magnetorheological fluid to vibration minimization – theoretical and experimental investigation,
SYMULACJA W BADANIACH I ROZWOJU, 5, 3, 191-198, 2014
Pręgowska A., Konowrocki R., Szolc T., On the semi-active control method for torsional vibrations in electro-mechanical systems by means of rotary actuators with a magneto-rheological fluid,
JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 51, 4, 979-992, 2013
Pręgowska A., Konowrocki R., Szolc T., Semi-active vibration control using a rotary magnetorheological damper – experimental verification,
POMIARY - AUTOMATYKA - ROBOTYKA. PAR, 2, 487-491, 2013
Pręgowska A., Konowrocki R., Szolc T., Experimental verification of the semi-active control concepts for torsional vibrations of the electro-mechanical system using rotary magneto-rheological actuators,
VIBRATIONS IN PHYSICAL SYSTEMS, 25, 329-334, 2012
Pręgowska A., Masztalerz K., Garlińska M., Osial M., A worldwide journey through distance education-from the post office to virtual, augmented and mixed realities, and education during the COVID-19 pandemic,
EDUCATION SCIENCES, 11, 3, 118-1-26, 2021
Pręgowska A., Osial M., Dolega-Dolegowski D., Kolecki R., Proniewska K., Information and Communication Technologies Combined with Mixed Reality as Supporting Tools in Medical Education,
ELECTRONICS , 11(22), 3778, 1-17, 2022
Pręgowska A., Osial M., Urbańska W., The Application of Artificial Intelligence in the Effective Battery Life Cycle in the Closed Circular Economy Model—A Perspective,
RECYCLING, 7, 81, 1-17, 2022
Pręgowska A., Proniewska K., van Dam P., Dudek D., Szczepański J., Automatic arrhythmia detection form two-channel ambulatory ECG recordings using Shannon Information Theory-based algorithms,
NFIC, 20TH NEW FRONTIERS IN INTERVENTIONAL CARDIOLOGY, 2019-12-11/12-13, KRAKÓW (PL), 9-, 2019
Pręgowska A., Proniewska K., van Dam P., Szczepański J., Using Lempel-Ziv complexity as effective classification tool of the sleep-related breathing disorders,
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 182, 105052-1-7, 2019
Pręgowska A., Szczepański J., Wajnryb E., Temporal code versus rate code for binary Information Sources,
NEUROCOMPUTING, 216, 756-762, 2016
Pręgowska A., Szczepański J., Wajnryb E., Mutual information against correlations in binary communication channels,
BMC NEUROSCIENCE, 16, 32, 1-7, 2015
Pręgowska A., Warczak M., Osial M., Superparamagnetyczne nanocząstkina bazie tlenku żelaza domieszkowane terbem i modyfikowane aklarubicynądo magnetycznej hipertermii,
XIII INTERDYSCYPLINARNA KONFERENCJA NAUKOWA TYGIEL 2021 „INTERDYSCYPLINARNOŚĆ KLUCZEM DO ROZWOJU”, 2021-03-25/03-28, LUBLIN (PL), 296-, 2021
Pręgowska A.,Osial M., What Is An Artificial Neural Network And Why Do We Need It?,
FRONTIERS FOR YOUNG MINDS, 09, 1-7, 2021
Pręgowska A.,Perkins M., Artificial intelligence in medical education: Typologies and ethical approaches,
ETHICS & BIOETHICS (IN CENTRAL EUROPE), 14, 1-2, 96-113, 2024
Pręgowska Agnieszka, Osial Magdalena, Gajda Aleksandra, What will the education of the future look like? How have Metaverse and Extended Reality affected the higher education systems?,
METAVERSE BASIC AND APPLIED RESEARCH, 3, 57, 1-13, 2024

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