Tomasz Zabinski

According to our database, Tomasz Zabinski authored at least 13 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

Estimation of Tool Life in the Milling Process - Testing Regression Models.

Andrzej Paszkiewicz, Grzegorz Piecuch, Tomasz Zabinski, Marek Bolanowski, Mateusz Salach, Dariusz Raczka

Sensors, December, 2023

2022

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

2021

FPGA-Embedded Anomaly Detection System for Milling Process.

Tomasz Zabinski, Zbigniew Hajduk, Jacek Kluska, Leslaw Gniewek

IEEE Access, 2021

2020

PID-Like Adaptive Fuzzy Controller Design Based on Absolute Stability Criterion.

Jacek Kluska, Tomasz Zabinski

IEEE Trans. Fuzzy Syst., 2020

Machining sensor data management for operation-level predictive model.

Edward Kozlowski, Dariusz Mazurkiewicz, Tomasz Zabinski, Slawomir Prucnal, Jaroslaw Sep

Expert Syst. Appl., 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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis.

Roman Zajdel, Maciej Kusy, Jacek Kluska, Tomasz Zabinski

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2018

Implementation of Computational Intelligence Methods for CNC Machine Spindle Imbalance Prediction.

Grzegorz Piecuch, Tomasz Zabinski

Proceedings of the Automation 2018, 2018

2017

Industrial Platform for Rapid Prototyping of Intelligent Diagnostic Systems.

Tomasz Zabinski, Tomasz Maczka, Jacek Kluska

Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017

2015

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

Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014

Failures Prediction in the Cold Forging Process Using Machine Learning Methods.

Tomasz Zabinski, Tomasz Maczka, Jacek Kluska, Maciej Kusy, Zbigniew Hajduk, Slawomir Prucnal

Proceedings of the Artificial Intelligence and Soft Computing, 2014

2008

Rapid control prototyping with Scilab/Scicos/RTAI for PC-based ARM-based platforms.

Grzegorz Skiba, Tomasz Zabinski, Andrzej Bozek

Proceedings of the International Multiconference on Computer Science and Information Technology, 2008