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Pręgowska A., Casti A., Kaplan E., Wajnryb E., Szczepański J., Information processing in the LGN: a comparison of neural codes and cell types,
BIOLOGICAL CYBERNETICS, 113, 4, 453-464, 2019 |  |
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Pręgowska A., Kaplan E., Szczepański J., How far can neural correlations reduce uncertainty? Comparison of information transmission rates for Markov and Bernoulli processes,
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 29, 8, 1950003-1-13, 2019 | |
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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 | |
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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 | |
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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 | |
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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 | |
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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 | |
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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 | |
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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 | |
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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 | |
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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 |  |
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Pręgowska A., Szczepański J., Wajnryb E., Temporal code versus rate code for binary Information Sources,
NEUROCOMPUTING, 216, 756-762, 2016 | |
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Pręgowska A., Szczepański J., Wajnryb E., Mutual information against correlations in binary communication channels,
BMC NEUROSCIENCE, 16, 32, 1-7, 2015 | |
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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 | |
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Pręgowska A.,Osial M., What Is An Artificial Neural Network And Why Do We Need It?,
FRONTIERS FOR YOUNG MINDS, 09, 1-7, 2021 | |
