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)

Signal Processing in the Investigation of Two-phase Liquid-gas Flow by Gamma-ray Absorption. - Robert Hanus; Marcin Zych; Marek Jaszczur; Anna Szlachta; Anna Golijanek-Jedrzejczyk (CoDIT, 2019)

Simulation study of the application of Hilbert Transform in correlation measurements of liquid-gas flow using gamma-ray attenuation technique. - Robert Hanus; Marcin Zych (ICSC, 2019)

Computational Intelligence Approach for Liquid-Gas Flow Regime Classification Based on Frequency Domain Analysis of Signals from Scintillation Detectors. - Robert Hanus; Marcin Zych; Marek Jaszczur (IWANN (2), 2019)

Improvement of Flow Velocity Measurement Algorithms Based on Correlation Function and Twin Plane Electrical Capacitance Tomography. - Volodymyr Mosorov; Marcin Zych; Robert Hanus; Dominik Sankowski; Ayoub Saoud (Sensors, 2020)

Feasibility Study of Using X-ray Tube and GMDH for Measuring Volume Fractions of Annular and Stratified Regimes in Three-Phase Flows. - Gholam Hossein Roshani; Peshawa Jammal Muhammad Ali; Shivan Mohammed; Robert Hanus; Lokman Abdulkareem; Adnan Alhathal Alanezi; Ehsan Nazemi; Ehsan Eftekhari-Zadeh; El Mostafa Kalmoun (Symmetry, 2021)

Signals Features Extraction in Radioisotope Liquid-Gas Flow Measurements using Autocorrelation Function. - Robert Hanus; Marcin Zych; Anna Golijanek-Jedrzejczyk (CoDIT, 2022)

Application of the convolutional neural network to recognition of the two-phase water-air flow regime in a pipeline using histograms of radiometric signals*. - Robert Hanus; Marcin Zych; Piotr Ochal; Rafal Chorzepa (CoDIT, 2024)