Profil

Mariusz Pelc

dr hab. inż., pracownik badawczo-dydaktyczny

Grupy badawcze

Publikacje(4)

Multimodal Machine Learning Analysis of fNIRS Signals Using LSTM and KNN Models for Cognitive States and Brain Activation Patterns Prediction

Tomasz Kajdanowicz, Mariusz Pelc, Aleksandra D Kawala-Sterniuk, Adrian Luckiewicz, Dariusz Mikołajewski, Radosław Roszczyk, Krzysztof Siwek, Piotr Sterniuk, Edward Jacek Gorzelanczyk

Communications in computer and information science

DOI Link

2025

Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes

Aleksandra D Kawala-Sterniuk, Mariusz Pelc, Maria Myslicka, Anna Bryniarska, Adam Sudoł, Michał Podpora, Rafal Gasz, Radek Martinek, Radana Vilimkova Kahankova, Dominik Vilimek, Dariusz Mikołajewski

Archives of Dermatological Research

DOI Link

2024

Comparison of smoothing filters’ influence on quality of data recorded with the Emotiv EPOC Flex Brain–Computer Interface headset during audio stimulation

Aleksandra D Kawala-Sterniuk, Mariusz Pelc, Natalia Browarska, Jarosław Zygarlicki, Michał Podpora, Radek Martinek, Edward Jacek Gorzelanczyk

Brain Sciences

DOI PDF Link

2021

Comparison of smoothing filters in analysis of EEG data for the medical diagnostics purposes

Aleksandra D. Kawala-Sterniuk, Mariusz Pelc, Michał Podpora, Monika Blaszczyszyn, Edward Jacek Gorzelanczyk, Radek Martinek, Stepan Ozana

Sensors (Switzerland)

DOI PDF Link

2020