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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Development, implementation and testing of algorithms for measurements of electromagnetic signals detected onboard a stratospheric balloon above thunderstorms
 Amrich, Samuel ; Santolík, Ondřej (advisor) ; Kašpar, Petr (referee)
In this work, we focus on the application of machine learning techniques to study radio recordings of lightning discharges. Our goal was to develop an algorithm that could autonomously detect and classify different types of lightning discharges, as well as their groups or developmental stages. To this end, we tested various methods of classical ma- chine learning as well as deep neural networks. All of these models were trained itera- tively on archival data. The results of our work show that it is possible to effectively use machine learning methods for detection and classification purposes, with the aim of deploying them on board the STRATELEC stratospheric balloon project. In the future, our findings should be deployed on board the stratospheric balloon and could be used to improve understanding of the processes involved in creating lightning discharges in a thundercloud. 1
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