Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Damian Ledźinski"'
Autor:
Justyna Stańczyk, Krzysztof Pałczyński, Paulina Dzimińska, Damian Ledziński, Tomasz Andrysiak, Paweł Licznar
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Developments in data mining techniques have significantly influenced the progress of Intelligent Water Systems (IWSs). Learning about the hydraulic conditions enables the development of increasingly reliable predictive models of water consum
Externí odkaz:
https://doaj.org/article/2ade0b7de7754a79aaeb7037c7d0fcab
Autor:
Maciej Przybyłek, Anna Tuwalska, Damian Ledziński, Sandra Śmigiel, Alina Sionkowska, Iwona Białas, Piotr Bełdowski
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4131 (2024)
Fibroin–chitosan composites, especially those containing nanohydroxyapatite, show potential for bone tissue regeneration. The physicochemical properties of these biocomposites depend on the compatibility between their components. In this study, the
Externí odkaz:
https://doaj.org/article/6619cf5b489a4c91966726b1eb8288f2
Publikováno v:
Entropy, Vol 24, Iss 11, p 1560 (2022)
The study of leukemia classification using deep learning techniques has been conducted by multiple research teams worldwide. Although deep convolutional neural networks achieved high quality of sick vs. healthy patient discrimination, their inherent
Externí odkaz:
https://doaj.org/article/4110f3581341488fbaf8890697fa6dfc
Publikováno v:
Sensors, Vol 22, Iss 3, p 904 (2022)
The electrocardiogram (ECG) is considered a fundamental of cardiology. The ECG consists of P, QRS, and T waves. Information provided from the signal based on the intervals and amplitudes of these waves is associated with various heart diseases. The f
Externí odkaz:
https://doaj.org/article/953d9f87746447528fd783098d442771
Publikováno v:
Sensors, Vol 21, Iss 24, p 8174 (2021)
Deep Neural Networks (DNNs) are state-of-the-art machine learning algorithms, the application of which in electrocardiographic signals is gaining importance. So far, limited studies or optimizations using DNN can be found using ECG databases. To expl
Externí odkaz:
https://doaj.org/article/79882262e52044108dc6db5aba0f0cf7
Autor:
Krzysztof Pałczyński, Sandra Śmigiel, Marta Gackowska, Damian Ledziński, Sławomir Bujnowski, Zbigniew Lutowski
Publikováno v:
Sensors, Vol 21, Iss 23, p 8025 (2021)
Acute lymphoblastic leukemia is the most common cancer in children, and its diagnosis mainly includes microscopic blood tests of the bone marrow. Therefore, there is a need for a correct classification of white blood cells. The approach developed in
Externí odkaz:
https://doaj.org/article/350d52bb5cb84e54a007859301882554
Publikováno v:
Entropy, Vol 23, Iss 9, p 1121 (2021)
The analysis and processing of ECG signals are a key approach in the diagnosis of cardiovascular diseases. The main field of work in this area is classification, which is increasingly supported by machine learning-based algorithms. In this work, a de
Externí odkaz:
https://doaj.org/article/c782988eb9b84c4db16455456b6b7187
Publikováno v:
Entropy, Vol 22, Iss 6, p 597 (2020)
Due to their growing number and increasing autonomy, drones and drone swarms are equipped with sophisticated algorithms that help them achieve mission objectives. Such algorithms vary in their quality such that their comparison requires a metric that
Externí odkaz:
https://doaj.org/article/7833c6f57a0a43e7ab79eca003dc6836
Publikováno v:
Entropy, Vol 22, Iss 4, p 405 (2020)
This work presents the analysis of the conformation of albumin in the temperature range of 300 K – 312 K , i.e., in the physiological range. Using molecular dynamics simulations, we calculate values of the backbone and dihedral angles for this mole
Externí odkaz:
https://doaj.org/article/f138873871e54a2e97c62847eacbaf10
Autor:
Jacek Siódmiak, Piotr Bełdowski, Wayne K. Augé, Damian Ledziński, Sandra Śmigiel, Adam Gadomski
Publikováno v:
Molecules, Vol 22, Iss 9, p 1436 (2017)
Tribological surgical adjuvants constitute a therapeutic discipline made possible by surgical advances in the treatment of damaged articular cartilage beyond palliative care. The purpose of this study is to analyze interactions between hyaluronic aci
Externí odkaz:
https://doaj.org/article/98a01f96bbc642a4939271f00f00045b