Exploring the Potential of Transfer Learning for Chatter Detection

Autor: Unver, Hakki Ozgur, Sener, Batihan

Publikováno v: In Procedia Computer Science 2022 200:151-159

A novel chatter detection method for milling using deep convolution neural networks

Autor: Sener, Batihan, Gudelek, M. Ugur, Ozbayoglu, A. Murat, Unver, Hakki Ozgur

Publikováno v: In Measurement September 2021 182

An industrially viable wavelet long-short term memory-deep multilayer perceptron-based approach to tool condition monitoring considering operational variability.

Autor: Gudelek, M Ugur, Serin, Gokberk, Ozbayoglu, Ahmet Murat, Unver, Hakki Ozgur

Publikováno v: Proceedings of the Institution of Mechanical Engineers: Part E: Journal of Process Mechanical Engineering (Sage Publications, Ltd.); Dec2023, Vol. 237 Issue 6, p2532-2546, 15p

Design of a Customer's Type Based Algorithm for Partner Selection Problem of Virtual Enterprise

Autor: Nikghadam, Shahrzad, Ozbayoglu, Ahmet Murat, Unver, Hakki Ozgur, Kilic, Sadik Engin

Publikováno v: In Procedia Computer Science 2016 95:467-474

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