Rapid control prototyping with Scilab/Scicos/RTAI for PC-based ARM-based platforms. - Grzegorz Skiba; Tomasz Zabinski; Andrzej Bozek (IMCSIT, 2008)

Failures Prediction in the Cold Forging Process Using Machine Learning Methods. - Tomasz Zabinski; Tomasz Maczka; Jacek Kluska; Maciej Kusy; Zbigniew Hajduk; Slawomir Prucnal (ICAISC (1), 2014)

CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods. - Tomasz Zabinski; Tomasz Maczka; Jacek Kluska; Maciej Kusy; Piotr Gierlak; Robert Hanus; Slawomir Prucnal; Jaroslaw Sep (ICAISC (1), 2015)

Industrial Platform for Rapid Prototyping of Intelligent Diagnostic Systems. - Tomasz Zabinski; Tomasz Maczka; Jacek Kluska (KKA, 2017)

Implementation of Computational Intelligence Methods for CNC Machine Spindle Imbalance Prediction. - Grzegorz Piecuch; Tomasz Zabinski (AUTOMATION, 2018)

Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis. - Roman Zajdel; Maciej Kusy; Jacek Kluska; Tomasz Zabinski (ICAISC (1), 2020)

Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem. - Maciej Kusy; Roman Zajdel; Jacek Kluska; Tomasz Zabinski (IJCNN, 2020)

Machining sensor data management for operation-level predictive model. - Edward Kozlowski; Dariusz Mazurkiewicz; Tomasz Zabinski; Slawomir Prucnal; Jaroslaw Sep (Expert Syst. Appl., 2020)

PID-Like Adaptive Fuzzy Controller Design Based on Absolute Stability Criterion. - Jacek Kluska; Tomasz Zabinski (IEEE Trans. Fuzzy Syst., 2020)

FPGA-Embedded Anomaly Detection System for Milling Process. - Tomasz Zabinski; Zbigniew Hajduk; Jacek Kluska; Leslaw Gniewek (IEEE Access, 2021)

Industrial Needs in the Fields of Artificial Intelligence, Internet of Things and Edge Computing. - Dorota Stadnicka; Jaroslaw Sep; Riccardo Amadio; Daniele Mazzei; Marios Tyrovolas; Chrysostomos D. Stylios; Anna Carreras-Coch; Juan Alfonso Merino; Tomasz Zabinski; Joan Navarro (Sensors, 2022)

Estimation of Tool Life in the Milling Process - Testing Regression Models. - Andrzej Paszkiewicz; Grzegorz Piecuch; Tomasz Zabinski; Marek Bolanowski; Mateusz Salach; Dariusz Raczka (Sensors, 2023)

Virtual tomography as a novel method for segmenting machining process phases with the use of machine learning-supported measurement. - Dariusz Mazurkiewicz; Piotr Sobecki; Tomasz Zabinski; Grzegorz Piecuch (Expert Syst. Appl., 2024)