Application of multi-comparational algorithms to classification of acoustic emission signals generated by partial discharges. - Tomasz Boczar; Dariusz Zmarzly; Sebastian Borucki; Andrzej Cichon; Pawel Frqcz; Pawel Kurtasz (SiPS, 2013)

Classification of Low Frequency Signals Emitted by Power Transformers Using Sensors and Machine Learning Methods. - Daniel Jancarczyk; Marcin Bernas; Tomasz Boczar (Sensors, 2019)

Application of Correlation Analysis for Assessment of Infrasound Signals Emission by Wind Turbines. - Tomasz Boczar; Dariusz Zmarzly; Michal Koziol; Daria Wotzka (Sensors, 2020)

Distribution Transformer Parameters Detection Based on Low-Frequency Noise, Machine Learning Methods, and Evolutionary Algorithm. - Daniel Jancarczyk; Marcin Bernas; Tomasz Boczar (Sensors, 2020)

Latest Trends in the Improvement of Measuring Methods and Equipment in the Area of NDT. - Daria Wotzka; Michal Koziol; Tomasz Boczar; Michal Kunicki; Lukasz Nagi (Sensors, 2021)

Optimization of Methodology for Identifying Partial Discharges in Insulating Liquids Through Optical Radiation Analysis Using Machine Learning. - Michal Koziol; Tomasz Boczar; Daniel Jancarczyk; Marcin Bernas (IEEE Trans. Instrum. Meas., 2025)