The Use of Distributed Data Storage and Processing Systems in Bioinformatic Data Analysis. - Michal Bochenek; Kamil Folkert; Roman Jaksik; Michal Krzeslak; Marcin Michalak 001; Marek Sikora; Tomasz Steclik; Lukasz Wróbel (BDAS, 2018)

Multi-criteria Decision Analysis in the Railway Risk Management Process. - Jacek Baginski; Barbara Flisiuk; Wojciech Górka; Dariusz Rogowski; Tomasz Steclik (BDAS, 2019)

Cloud Decision Support System for Risk Management in Railway Transportation. - Wojciech Górka; Jacek Baginski; Michal Socha; Tomasz Steclik; Dawid Lesniak; Marek Wojtas; Barbara Flisiuk; Marcin Michalak 001 (ICSOFT, 2019)

Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles. - Rafal Cupek; Marek Drewniak; Tomasz Steclik (ICCS (4), 2021)

The forecast of the AGV battery discharging via the machine learning methods. - Olena Pavliuk; Tomasz Steclik; Piotr Biernacki (IEEE Big Data, 2022)

Stream data clustering for engineering applications a use case of autonomous guided vehicles. - Tomasz Steclik; Rafal Cupek; Marek Drewniak (IEEE Big Data, 2022)

MAINE: a web tool for multi-omics feature selection and rule-based data exploration. - Aleksandra Gruca; Joanna Henzel; Iwona Kostorz; Tomasz Steclik; Lukasz Wróbel; Marek Sikora (Bioinform., 2022)

Automatic grouping of production data in Industry 4.0: The use case of internal logistics systems based on Automated Guided Vehicles. - Tomasz Steclik; Rafal Cupek; Marek Drewniak (J. Comput. Sci., 2022)

Predicting AGV Battery Cell Voltage Using a Neural Network Approach with Preliminary Data Analysis and Processing. - Olena Pavliuk; Mykola O. Medykovskyy; Tomasz Steclik (IEEE Big Data, 2023)

Processing Real-Life Recordings of Facial Expressions of Polish Sign Language Using Action Units. - Anna Irasiak; Jan Kozak; Adam Piasecki; Tomasz Steclik (Entropy, 2023)