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Autor:
Agata Przybyś-Małaczek, Izabella Antoniuk, Karol Szymanowski, Michał Kruk, Alexander Sieradzki, Adam Dohojda, Przemysław Szopa, Jarosław Kurek
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5913 (2024)
This evaluation of deep learning and traditional machine learning methods for tool state recognition in milling processes aims to automate furniture manufacturing. It compares the performance of long short-term memory (LSTM) networks, support vector
Externí odkaz:
https://doaj.org/article/a9f1abbd362d4a76ab84c501a0d95c99
