Radek Martínek

Deep learning pipelines for white blood cell classification: a comprehensive literature review

Abstract This study aims to provide a comprehensive and structured overview of how DL frameworks have been utilized for the recognition and classification of white blood cell (WBC) images. The review is guided by three primary research questions: (1) What are the dominant trends...

Benchmarking one-class and binary classifiers for weld defect detection using acoustic emission signals

The aim of this study is to apply diagnostic techniques to welds based on machine learning methods. This approach works exclusively with signal data, making it nondestructive and enabling easier and faster implementation. It detects anomalies immediately after the welding procedu...