Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network. - Piotr Cofta; Tomasz Marciniak; Krzysztof Palczynski (ICCS (3), 2021)

Queueing theory model of Krebs cycle. - Sylwester Kloska; Krzysztof Palczynski; Tomasz Marciniak; Tomasz Talaska; Marissa Nitz; Beata J. Wysocki; Paul H. Davis; Tadeusz A. Wysocki (Bioinform., 2021)

ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset. - Sandra Smigiel; Krzysztof Palczynski; Damian Ledzinski (Entropy, 2021)

IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification. - Krzysztof Palczynski; Sandra Smigiel; Marta Gackowska; Damian Ledzinski; Slawomir Bujnowski; Zbigniew Lutowski (Sensors, 2021)

Deep Learning Techniques in the Classification of ECG Signals Using R-Peak Detection Based on the PTB-XL Dataset. - Sandra Smigiel; Krzysztof Palczynski; Damian Ledzinski (Sensors, 2021)

Analysis of Long-Range Forecast Strategies for IoT on Urban Water Consumption Prediction Task. - Krzysztof Palczynski; Tomasz Andrysiak; Marcin Glowacki; Michal Kierul; Tomasz Kierul (CISIS-ICEUTE, 2022)

Entropy Measurements for Leukocytes' Surrounding Informativeness Evaluation for Acute Lymphoblastic Leukemia Classification. - Krzysztof Palczynski; Damian Ledzinski; Tomasz Andrysiak (Entropy, 2022)

Study of the Few-Shot Learning for ECG Classification Based on the PTB-XL Dataset. - Krzysztof Palczynski; Sandra Smigiel; Damian Ledzinski; Slawomir Bujnowski (Sensors, 2022)

Conversion of fat to cellular fuel - Fatty acids β-oxidation model. - Sylwester Kloska; Krzysztof Palczynski; Tomasz Marciniak; Tomasz Talaska; Marissa Miller; Beata J. Wysocki; Paul H. Davis; Tadeusz A. Wysocki (Comput. Biol. Chem., 2023)

Fuzzy Gaussian Decision Tree. - Krzysztof Palczynski; Magda Czyzewska; Tomasz Talaska (J. Comput. Appl. Math., 2023)