Pałczyński K - Search Results

1

The impact of the number of high temporal resolution water meters on the determinism of water consumption in a district metered area.

Stańczyk J, Pałczyński K, Dzimińska P, Ledziński D, Andrysiak T, Licznar P. Stańczyk J, et al. Among authors: palczynski k. Sci Rep. 2023 Nov 2;13(1):18921. doi: 10.1038/s41598-023-46086-z. Sci Rep. 2023. PMID: 37919417 Free PMC article.

2

Entropy Measurements for Leukocytes' Surrounding Informativeness Evaluation for Acute Lymphoblastic Leukemia Classification.

Pałczyński K, Ledziński D, Andrysiak T. Pałczyński K, et al. Entropy (Basel). 2022 Oct 29;24(11):1560. doi: 10.3390/e24111560. Entropy (Basel). 2022. PMID: 36359651 Free PMC article.

3

ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset.

Śmigiel S, Pałczyński K, Ledziński D. Śmigiel S, et al. Among authors: palczynski k. Entropy (Basel). 2021 Aug 28;23(9):1121. doi: 10.3390/e23091121. Entropy (Basel). 2021. PMID: 34573746 Free PMC article.

4

Deep Learning Techniques in the Classification of ECG Signals Using R-Peak Detection Based on the PTB-XL Dataset.

Śmigiel S, Pałczyński K, Ledziński D. Śmigiel S, et al. Among authors: palczynski k. Sensors (Basel). 2021 Dec 7;21(24):8174. doi: 10.3390/s21248174. Sensors (Basel). 2021. PMID: 34960267 Free PMC article.

5

Study of the Few-Shot Learning for ECG Classification Based on the PTB-XL Dataset.

Pałczyński K, Śmigiel S, Ledziński D, Bujnowski S. Pałczyński K, et al. Sensors (Basel). 2022 Jan 25;22(3):904. doi: 10.3390/s22030904. Sensors (Basel). 2022. PMID: 35161650 Free PMC article.

6

IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification.

Pałczyński K, Śmigiel S, Gackowska M, Ledziński D, Bujnowski S, Lutowski Z. Pałczyński K, et al. Sensors (Basel). 2021 Dec 1;21(23):8025. doi: 10.3390/s21238025. Sensors (Basel). 2021. PMID: 34884029 Free PMC article.

7

Publisher Correction: Integrating glycolysis, citric acid cycle, pentose phosphate pathway, and fatty acid beta-oxidation into a single computational model.

Kloska SM, Pałczyński K, Marciniak T, Talaśka T, Wysocki BJ, Davis P, Wysocki TA. Kloska SM, et al. Among authors: palczynski k. Sci Rep. 2023 Oct 31;13(1):18755. doi: 10.1038/s41598-023-45724-w. Sci Rep. 2023. PMID: 37907577 Free PMC article. No abstract available.

8

Integrating glycolysis, citric acid cycle, pentose phosphate pathway, and fatty acid beta-oxidation into a single computational model.

Kloska SM, Pałczyński K, Marciniak T, Talaśka T, Wysocki BJ, Davis P, Wysocki TA. Kloska SM, et al. Among authors: palczynski k. Sci Rep. 2023 Sep 2;13(1):14484. doi: 10.1038/s41598-023-41765-3. Sci Rep. 2023. PMID: 37660197 Free PMC article.

9

Queueing theory model of pentose phosphate pathway.

Kloska SM, Pałczyński K, Marciniak T, Talaśka T, Miller M, Wysocki BJ, Davis P, Wysocki TA. Kloska SM, et al. Among authors: palczynski k. Sci Rep. 2022 Mar 17;12(1):4601. doi: 10.1038/s41598-022-08463-y. Sci Rep. 2022. PMID: 35301361 Free PMC article.

10

Queueing theory model of Krebs cycle.

Kloska S, Pałczyński K, Marciniak T, Talaśka T, Nitz M, Wysocki BJ, Davis P, Wysocki TA. Kloska S, et al. Among authors: palczynski k. Bioinformatics. 2021 Sep 29;37(18):2912-2919. doi: 10.1093/bioinformatics/btab177. Bioinformatics. 2021. PMID: 33724355

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