Zobrazeno 1 - 10
of 3 119
pro vyhledávání: '"A, Michałowska"'
We propose a new method for inferring roads from GPS trajectories to map construction sites. This task presents a unique challenge due to the erratic and non-standard movement patterns of construction machinery, which significantly diverge from typic
Externí odkaz:
http://arxiv.org/abs/2402.09919
Deep operator networks (DeepONets, DONs) offer a distinct advantage over traditional neural networks in their ability to be trained on multi-resolution data. This property becomes especially relevant in real-world scenarios where high-resolution meas
Externí odkaz:
http://arxiv.org/abs/2310.02491
Autor:
Łukasz Nogajski, Maciej Mazuruk, Marta Kacperska, Mikołaj Kurpias, Maciej Mączewski, Maksymilian Nowakowski, Michał Mączewski, Ilona Michałowska, Przemysław Leszek, Aleksandra Paterek
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-14 (2024)
Abstract Epicardial adipose tissue (EAT) is a unique fat depot located between the myocardium and the visceral layer of pericardium. It can be further subdivided into pericoronary (PCAT), periatrial (PAAT) and periventricular adipose tissue (PVentAT)
Externí odkaz:
https://doaj.org/article/9a1ac7ebd4f44654aa646b18cc6599ad
Applications of surface enhanced Raman scattering (SERS) spectroscopy for detection of nucleic acids
Publikováno v:
Nanophotonics, Vol 13, Iss 25, Pp 4577-4603 (2024)
Nucleic acids (deoxyribonucleic acid – DNA and ribonucleic acid – RNA) are essential components of all living organisms, with DNA encoding genetic information and RNA facilitating vital biological processes. The detection of nucleic acids having
Externí odkaz:
https://doaj.org/article/0f1b39a23c04463cbc1c4c8bc500bde6
Deep neural networks are an attractive alternative for simulating complex dynamical systems, as in comparison to traditional scientific computing methods, they offer reduced computational costs during inference and can be trained directly from observ
Externí odkaz:
http://arxiv.org/abs/2303.02243
Autor:
Jakub Kądziela, Joanna Zalewska, Maciej Gamski, Ilona Michałowska, Gabriela Soćko, Jacek Kądziela
Publikováno v:
Advances in Interventional Cardiology, Vol 20, Iss 3, Pp 367-369 (2024)
Externí odkaz:
https://doaj.org/article/1167c2efc6024763a4dc393efba027c2
Autor:
Chęć, Magdalena1 (AUTHOR) magdalena.chec@usz.edu.pl, Michałowska, Sylwia1 (AUTHOR), Gnych-Pietrzak, Alicja2 (AUTHOR) gnychalicja@gmail.com, Rybarska, Albina3 (AUTHOR) albinarybarska139@gmail.com, Strochalska, Klaudia4 (AUTHOR) strochalskaklaudia@gmail.com
Publikováno v:
Brain Sciences (2076-3425). Nov2024, Vol. 14 Issue 11, p1140. 20p.
Autor:
Michałowska, Aleksandra1 (AUTHOR) a.michalowska10@uw.edu.pl, Kudelski, Andrzej1 (AUTHOR) akudel@chem.uw.edu.pl
Publikováno v:
Molecules. Oct2024, Vol. 29 Issue 19, p4540. 12p.
Autor:
Pokorski, Patryk, Michałowska, Dorota, Moczkowska-Wyrwisz, Małgorzata, Strojny-Cieślak, Barbara, Custodio-Mendoza, Jorge A., Aktaş, Havva, Kurek, Marcin A.
Publikováno v:
In Food Chemistry 28 February 2025 466
Autor:
Marta Piaścik-Gromada, Katarzyna Bocian, Grażyna Korczak-Kowalska, Marta Leńska-Mieciek, Urszula Fiszer, Małgorzata Michałowska
Publikováno v:
Studia Medyczne, Vol 40, Iss 1, Pp 33-37 (2024)
Externí odkaz:
https://doaj.org/article/e355721eb97041b4a4303745de042ebe