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Poteralski A., Szczepanik M., Burczyński T., Immune Optimal Design of 2-D and 3-D Structures,
ICAISC, 14TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, 2015-06-14/06-18, ZAKOPANE (PL), 9120, 471-482, 2015
Poteralski A., Szczepanik M., Górski R., Burczyński T., Swarm and Immune Computing of Dynamically Loaded Reinforced Structures,
ICAISC, 14TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, 2015-06-14/06-18, ZAKOPANE (PL), 9120, 483-494, 2015
Potoczek M., Śliwa R.E., Pęcherski R.B., Nowak Z., Nowak M., Modelowanie struktury geometrycznej i wytrzymałości na ściskanie pianek ceramicznych przeznaczonych do infiltracji ciekłymi metalami,
RUDY I METALE NIEŻELAZNE, R56, 11, 594-598, 2011
Potyagaylo Danila, van Dam Peter M., Kuniewicz Marcin, Dolega-Dolegowski Damian, Pręgowska Agnieszka, Atkinson Andree, Dobrzyński Halina, Proniewska Klaudia, Interactive teaching of medical 3D cardiac anatomy: atrial anatomy enhanced by ECG and 3D visualization,
FRONTIERS IN MEDICINE, 11, 1422017, 1-8, 2024
Powałowski T., Etienne J., Filipczyński L., Nowicki A., Piechocki M., Secomski W., Wleciał A., Barańska M., Ultrasonic gray scale doppler imaging angiography,
ARCHIVES OF ACOUSTICS, 9, 1-2, 131-136, 1984
Powałowski T., Wójcik J., Trawiński Z., Modelling of examinations of artery wall thickness changes,
ARCHIVES OF ACOUSTICS, 32, 851-858, 2007
Pręgowska A., Signal fluctuations and the information transmission rates in binary communication channels,
ENTROPY, 23, 1, 92-1-12, 2021
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
Pręgowska A., Gajda A., Lis A., Demchuk Oleg M., Warczak M., Osial M., The attitude of high school students towards choosing a career path and participation in workshops popularizing science – SPIONs synthesis case,
RESEARCH IN SCIENCE & TECHNOLOGICAL EDUCATION, 1-25, 2025
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
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

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